Ai Solutions Lead Jobs

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, own

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a software engineer on the AI Soltuions team, you will co-lead customer engagements with an AI Solutions Strategist . The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. What You’ll Do Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. Create and maintain solution architecture artifacts: System context and data flow diagrams Integration plan across Ramp and customer systems Security model covering permissions, access patterns, and au

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety AI Systems? As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences. You Will Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent ha

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. You Will: Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives Sell agentic AI solutions by mapping Scale’s capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review) Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial) Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions Partner closely with Solu

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts We have a diverse team with a variety of skill sets, many have: A technical background (education or professional experience with computer science, economics, statistics, engineering) A proven track record in B2B client-facing roles and expanding client relationships Prior experience owning the technical implementation of solutions to the government Must haves: An active TS/SCI clearance (Full Scope Polygraph is a nice to have) 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communicat

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings. Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques (e.g.,

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building and deploying agentic AI solutions on large, complex government programs that increasingly require Scale technology to integrate with capabilities delivered by traditional defense primes and other subcontractors. We’re hiring a subcontracts manager to own the day-to-day relationships, execution, and integration of subcontractors supporting our Public Sector programs. You will work alongside Scale’s Delivery team and technical leads to ensure our subcontractors understand where their work fits into the broader technical solution, deliver against committed timelines and requirements, and remain fully integrated into our overall program execution. This role requires unusual range: you should be equally comfortable reviewing an integrated master schedule and discussing technical dependencies as you are resolving an invoice, onboarding a new subcontractor, or flowing down security requirements. You will need technical fluency to understand what Scale is building and how subcontractor capabilities fit into the solution, while using strong program management and influence to hold external partners accountable for results. You will: Own day-to-day relationships with subcontractors supporting large Public Sector programs, including major defense primes and specialized technical partners Understand Scale’s overall technical solution and ensure each subcontractor clearly understands how its scope, interfaces, and deliverables fit into that solution Translate prime contract milestones and program requirements into clear subcontractor deliverables, timelines, dependencies, and acceptance criteria Integrate subcontractor activities into the broader Integrated Master Schedule (IMS) and proactively identify dependencies, risks, and potential schedule impacts Hold subcontractors accountable for committed scop

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation. Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or equivale

The Enterprise Account Executive will report to the Director of Enterprise GTM and will own revenue growth across a portfolio of Scale AI’s largest and most strategic enterprise customers. This role is focused on selling complex, highly technical AI solutions into F500 organizations, partnering with executive, technical, and operational stakeholders to drive long-term value and expansion. You will be responsible for full-cycle enterprise sales - from prospecting and deal strategy through close, renewal, and expansion - while serving as the quarterback across internal teams including Solutions Engineering, Product, Research, and Operations. This role requires strong ownership, executive presence, and the ability to navigate multi-stakeholder enterprise buying processes in a fast-paced environment. You Will: Own and drive relationships with Scale’s largest and most complex Fortune 500 prospects and customers Build trusted relationships with executive, technical, and operational stakeholders across multiple business units Develop and execute comprehensive account strategies to drive net-new revenue, expansion, and long-term partnerships Lead strategic deal planning and mutual close plans across new business, renewals, and expansions Partner closely with Solutions Engineering and Product teams to deliver compelling, technically credible value propositions Act as the voice of the customer internally, influencing product roadmap, research priorities, and delivery execution Maintain deep understanding of customer business goals, AI maturity, and industry trends to proactively identify opportunities Consistently communicate account health, pipeline, and forecast accuracy using Salesforce, Clari, and related tools Thrive in a fast-moving, multi-threaded environment while maintaining strong attention to detail and prioritization Ideally, You Will Have: 8+ years of enterprise sales or account management experience, including 2+ years selling deeply technical solutions to

The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. You Will: Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations Sell agentic AI solutions by mapping Scale’s capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research) Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production depl

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves: An active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with customers in locations throughout the Oahu area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: 10+ years of professional experience, often in a customer-facing technical program management role in industry or government Prior experience at an API technology company and / or manag

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves: An active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: 10+ years of professional experience, often in a customer-facing technical program management role in industry or government Prior experience at an API technology company and / or managing technical

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves: An active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Omaha area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: 10+ years of professional experience, often in a customer-facing technical program management role in industry or government Prior experience at an API technology company and / or managing technical cus