Lead Deployment Engineer Jobs

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. About the role We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role can be based in either Bangalore, Mumbai or Delhi . In this role, you will: Strategic AWS Engagement & Influence Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high-priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. Complex Deal Leadership & Execution Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production depl

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance. We’re creating an Agent Deployment Engineering Org : a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Deployment Engineers are technical and customer-facing: interfacing with senior technical stakeholders while going deep on agent configuration and build execution. About the Role As Director of Agent Deployment Engineering , you will lead Decagon’s technical deli

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting

About the team The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to

About the team The Applied AI Engineering team helps enterprises put Codex to work on their most important engineering workflows. We work alongside customer engineers to turn frontier AI capabilities into systems that improve how software is built, shipped, secured, and operated. Our work spans unfamiliar codebases, legacy systems, data pipelines, infrastructure, and enterprise integrations. We discover where AI can make a meaningful difference, build and prove solutions, and turn what we learn into reusable architectures, tools, and feedback that help shape Codex. About the Role We’re looking for an engineer who enjoys understanding complex systems, building alongside customers, and solving problems where the path forward isn’t obvious. You’ll work directly with technical leaders and engineers to identify valuable opportunities and take them from discovery through implementation and evaluation. You might build a Codex-assisted release review workflow, modernize a legacy data pipeline, accelerate a dependency migration, or connect an agent to the systems and context it needs to investigate production incidents. You’ll combine hands-on software engineering, architecture, and technical leadership to make Codex part of how customers get important work done. Success means delivering the agreed solution, demonstrating measurable improvement, and helping the customer sustain and expand its use. Working with our product, engineering, research, and account teams, you’ll turn deployment experience into evidence that informs improvements to Codex. The position is based in Sydney, Australia , with three office days each week. Relocation assistance is available to new employees. In this role, you will: Lead customer engineering engagements from workflow discovery and architecture through implementation, evaluation, and handoff, with clear customer owners, delivery milestones, and measurable success criteria. Assess customer repositories, data systems, infrastructure, security c

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are looking for a skilled and motivated Principal Software Engineer who is passionate about continuous learning and eager to grow along with us in a fast-paced, innovative environment. You will work remotely from Bulgaria and will be reporting to an engineering leader located in Bulgaria. You Will: Lead the design and implementation of Smartsheet's next-generation architecture, ensuring scalability, security, and performance for millions of global users. Define and drive architecture strategy, making key technical decisions that shape the future of the platform. Review and guide technical project designs, providing feedback during design review presentations to ensure system resilience and scalability. Take ownership of cross-functional technical initiatives, aligning teams around common architectural goals while driving large-scale projects to completion. Foster strong technical leadership, mentoring senior engineers and influencing best practices across multiple engineering teams. Lead deployment reviews for high-impact projects, ensuring they meet scalability, performance, and security requirements. Collaborate closely with product management and other business stakeholders to balance market needs with technical constraints, driving innovation while maintaining technical rigor. Advocate for quality and operational excellence, ensuring systems are monitored, tested, and maintained to meet the highest reliability standards. Perform other duties as assigned. You Have: Proven experience in system architecture and the d

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: solution go-live, solution adoption, initial value realization support and the long-term success of our customers. The Role As a Lead Project Manager, you will support end-to-end implementations of Celonis’ technology across our largest and most strategic customers. You will articulate Celonis’ product positioning to customers and collaborate with Sales, Partners and Value Engineering to deploy our platform, identify and

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. As Senior Director, Celonis Services for our EMEA Center of Excellence, you will lead the Madrid CoE as the engine of AI-augmented delivery and the home of deep technical, product, and AI expertise across Celonis Services EMEA/JAPAC. This role is part of the EMEA/JAPAC Services leadership team, reporting to the SVP Services, EMEA/JAPAC. This is a deliberately broad role: you will lead both the innovation side of the CoE — AI-led delivery, new product rollout, reusable assets — and its delivery operations side — capacity, utilisation, and delivery excellence — through your leaders and managers. Comfort operating across that full range is essential and you will need to demonstrate a combination of strategic long-term thinking and practical operational execution on a daily basis. You will lead the CoE Managers as well as a group of Principal Deployment Engineers and Deployment Architects, and, through them, a team of thirty+ Deployment Engineers and Deployment Architects that support our business across EMEA/JAPAC. The CoE is the center of AI-augmented delivery, product innovation, new product rollout, technical domain ownership and supporting business domain knowledge to the field. Partnering with our Bangalore CoE, region

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role The Senior Explosive Safety Specialist provides technical expertise and operational leadership for activities involving explosives, ammunition, energetic materials, warheads, fuzing systems, and munitions. In addition to serving as an experienced explosive safety practitioner, this role supports the planning and execution of complex domestic and international field operations, live-fire testing, flight testing, demonstrations, and deployments. The Senior Explosive Safety Specialist is expected to independently lead deployment operations associated with assigned programs while maintaining sufficient working knowledge of aviation/range operations and regulated transportation requirements to support broader field activities. This role works closely with engineering, flight operations, test, manufacturing, logistics, safety, and program teams to safely and effectively execute energetic and field operations. Key Responsibilities Explosive Safety & Energetic Operations Apply explosive safety requirements to the handling, transportation, storage, integration, testing, and use of ammunition, explosives, energetic materials, warheads, fuzes, and munitions. Independently support and oversee complex explosive and energetic operations. &nbsp

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in NYC. We use a hy

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in San Francisco. W

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptan