Sr Production Engineer Public Sector Jobs

CSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement custo

CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with t

CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with t

CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with t

Opportunity Overview: Cohere Health is at the forefront of leveraging artificial intelligence (AI) to transform prior authorization, shifting from transaction-based processes to creating elevated care journeys. By integrating AI into healthcare decisioning, we aim to improve efficiency, reduce costs, and ultimately enhance patient care. This is a unique opportunity to join our rapidly growing Clinical Intelligence team, where you’ll work on building impactful healthcare technologies that streamline and optimize the prior authorization process using AI/ML and Advanced Rules Engines. What you’ll do: Contribute to the functional & technical roadmap for the team, working alongside cross-functional teams to deliver high-impact deterministic rules-based and AI-driven healthcare automation solutions. Actively support the technical design process, bringing your expertise and analysis to help make data-driven decisions Continuously discover, understand, and implement new technologies & services to maximize development efficiency Contribute heavily to feature design, development, testing, and delivery of our cloud platform and web applications Support all parts of our platform from the database to the frontend Drive daily engineering release once 2-4 times a month Perform production support duties 1-2 times a year. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. What we looking for: You have experience working on software development teams, building and deploying full stack web applications You are passionate about building quality products and want to own product development end-to-end, with excellent design and development stan

About the role The Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. Find the leverage in your domain Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). Define the target workflow: what the agent does, what the human does, and where they hand off. Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. Handle integration gnarliness: auth, schema

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our EDA and Design Enablement team sits at the center of memory technology development. We build, maintain, and optimize the tools, methodologies, and design flows that enable world-class CMOS design at scale. By partnering closely with design, layout, and process engineering teams, we solve complex technical challenges that directly contribute to product innovation and business success. As a Computer Engineer, you will play a key role in supporting and advancing the design ecosystem used across Micron's engineering organization. You will develop, debug, and enhance both in-house and commercial EDA solutions while collaborating with multi-functional teams to improve engineering productivity, design quality, and workflow efficiency. This position is ideal for someone who enjoys hands-on technical problem solving, software development, and enabling engineers to perform at their best. Responsibilities Develop, maintain, and enhance EDA tools, design flows, and methodologies that support CMOS design and verification activities. Debug, evaluate, and provide production support for in-house and commercial EDA solutions in Linux/Unix environments. Collaborate with design, layout, and process engineering teams to identify and resolve workflow, automation, and tool integration challenges. Create and maintain technical documentation and deliver training and support for engineering users. Leverage AI-assisted tools and technologies, where appropriate, to improve development efficiency

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Desig

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What Yo

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life A career at Medtronic is like no other. We’re purposeful. We’re committed. And we’re driven by our Mission to alleviate pain, restore health and extend life for millions of people worldwide. A Sr. Process Engineer is responsible for developing, optimizing, and maintaining manufacturing processes to ensure efficient, safe, and high‑quality production. This role focuses on improving process performance, reducing waste, and supporting continuous improvement initiatives across manufacturing operations. Key responsibilities typically include analyzing production workflows, implementing process improvements, troubleshooting manufacturing issues, and collaborating with cross‑functional teams such as quality, operations, and supply chain. The engineer also develops process documentation, validates new equipment or processes, and ensures compliance with regulatory and safety standards. The position requires strong analytical and problem‑solving skills, knowledge of manufacturing methods and quality systems, and the ability to use data to drive operational improvements. Manufacturing Process Engineers play a critical role in increasing productivity, maintaining product quality, and supporting scalable manufacturing operations. Responsibilities may include the following and other duties may be assigned. Provides technical and sustaining en

Key Responsibilities : 4–7 years of experience in Fraud Risk Management, Trust & Safety, or Risk Engineering, ideally in fintech, payments, or banking Hands-on experience building or operating real-time fraud detection and transaction monitoring systems Strong understanding of risk scoring, rules engines, and/or ML-based fraud detection approaches Experience working with payment flows, UPI, wallets, or similar transaction-heavy systems Familiarity with regulatory requirements around fraud and risk controls — NPCI, RBI, sanctions/watchlist screening, suspicious-transaction reporting, and comparable regimes Proficiency in Python or a similar language; comfortable working with SQL and large transactional datasets Strong analytical mindset, with the ability to translate emerging fraud patterns and typologies into actionable detection logic Comfortable owning a control that only works if someone actually works it — the review queue and escalation path are real from the day you’re behind them Experience with UPI/TPAP ecosystems or NPCI-regulated payment products is a plus Experience with case management tools and fraud investigation workflows is a plus Exposure to machine learning-based risk models in production, including model governance and drift monitoring, is a plus Prior experience supporting statutory or regulatory audits related to fraud or risk controls is a plus

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What Yo

FEQ427R400 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: 7+ years of hands-on industry ML experience in at least one of the following: ML Engineer: Build and maintain production-gr

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 Prisma is a newly formed team building the Modeling Library that powers Celonis' Process Modeling Experiences. This library is the foundation for how users create, edit, and visualize process models across the platform. The team works closely with Product, UX, and other engineering teams to turn complex modeling and graph problems into fast, intuitive interactions for our customers. The Role As a Senior Software Engineer on Prisma, you'll help build and grow the Modeling library from the ground up. You'll work on the graph rendering, layout, and interaction logic that lets users model business processes clearly and efficiently, even with large and complex data sets. We're looking for engineers who already use AI coding tools daily and know how to apply them to solve real engineering problems fast, not as a novelty, but as part of how they build production-quality software. The work you'll do Design and build the Modeling library's core components using TypeScript, Angular, and HTML5. Solve complex visualization problems such as fast interactions, dynamic graph layouts, and graph interactions, to Celonis' quality bar Use AI coding tools daily to speed up development and problem-solving on graph layout, rendering, and in

P-1324 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Experience with low level systems (OS, network stacks, CPU optimizations). Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70%