Lead Full Stack Engineer, Data Analytics

We are looking for a Lead Full Stack Engineer to help drive the development, testing, and delivery of AI-enabled solutions for Assurance.This role is ideal for a hands-on engineer who can go beyond coding. You will act as a technical product lead, working across product, engineering, AI, data, testing, and assurance teams to turn business needs into scalable, reliable, and production-ready AI solutions.You will help lead a full-stack development team, shape technical requirements, manage delivery priorities, and ensure our Assurance AI products meet the quality, reliability, usability, and testing standards required for enterprise and assurance use cases.What You Will DoOwn the end-to-end delivery of Assurance AI features, from requirements and solution design through development, testing, release, and production supportWork closely with Assurance stakeholders to translate business objectives into clear product requirements, user stories, acceptance criteria, and technical delivery plansLead and coordinate developers across front-end, back-end, API, data, cloud, AI, and testing workstreamsDesign, build, and review scalable full-stack applications, APIs, workflows, dashboards, and integrations that support AI-enabled assurance use casesAct as the bridge between business stakeholders, product owners, AI specialists, developers, and testers to ensure delivery remains aligned, practical, and outcome-focusedDrive sprint planning, backlog prioritization, technical design discussions, dependency management, and release readinessDefine and support testing strategies for AI-enabled products, including functional testing, integration testing, regression testing, user acceptance testing, model-output validation, prompt testing, and data quality checksIdentify technical risks, delivery blockers, architectural trade-offs, and quality gaps early, and work with the team to resolve themPromote strong engineering practices, including code reviews, documentation, automated testing, CI/CD, monitoring, and production-readiness checksHelp establish reusable patterns, components, and development practices that accelerate future Assurance AI delivery.What We Are Looking For5+ years of professional software engineering experience, including hands-on full-stack developmentStrong experience with modern front-end and back-end technologies such as React, Angular, Vue, Node.js, Python, Java, .NET, or similarExperience designing and building APIs, working with databases, integrating systems, and delivering secure, scalable applicationsA strong understanding of software testing, release management, CI/CD, monitoring, and production supportExperience leading developers, managing technical workstreams, or coordinating delivery across cross-functional teamsThe ability to translate ambiguous business needs into clear technical requirements, delivery plans, and measurable outcomesStrong communication skills, with the ability to explain technical decisions to both engineering and non-technical stakeholdersA product mindset, including comfort with backlog management, prioritization, user stories, acceptance criteria, and stakeholder alignmentNice to HaveExperience building or integrating AI, GenAI, LLM, machine learning, or agentic workflow solutionsExperience with AI testing and validation, including prompt evaluation, model-output review, hallucination checks, explainability, and human-in-the-loop reviewExperience in assurance, audit, risk, compliance, financial services, professional services, or other regulated enterprise environmentsFamiliarity with Azure OpenAI, AWS Bedrock, Google Cloud AI, OpenAI APIs, vector databases, RAG architectures, document processing, or workflow automationExperience working in Agile delivery environments and supporting Scrum ceremonies, release planning, or technical governanceWhat Success Looks LikeDeliver Assurance AI capabilities that are reliable, scalable, tested, and ready for business useImprove coordination and delivery velocity across the full-stack development teamTurn complex assurance and AI requirements into practical, buildable, and testable solutionsReduce ambiguity between business, product, AI, engineering, and testing teamsRaise the quality of development, testing, documentation, and release practicesCreate reusable technical patterns that allow Assurance AI products to scale across future use casesAbout YouYou are a hands-on engineer with strong product instincts. You enjoy building software, but you also enjoy leading teams, clarifying ambiguity, managing priorities, and making sure the right product gets delivered the right way.You are comfortable moving between code, architecture, product requirements, testing strategy, stakeholder discussions, and delivery planning. You can zoom into technical details when needed, but you can also step back and guide the team toward the bigger outcome.