Senior Full Stack Engineer - GenAI

Role summary

Lead the design and delivery of cloud-native, full-stack products with a strong emphasis on Generative AI (GenAI) capabilities. You will own technical direction, guide teams through modern engineering practices, and partner with product, design, and stakeholders to deliver secure, reliable solutions at scale.

Key responsibilities

• Architecture & technical leadership: Define target architecture for full-stack and GenAI-enabled solutions (APIs, front ends, data layers, integrations), balancing speed, quality, security, and maintainability.
• Hands-on engineering: Build and review production-grade code across UI, services, and data components; set coding standards and drive refactoring where needed.
• GenAI solution delivery: Design and implement GenAI patterns such as Retrieval Augmented Generation (RAG), tool/agent workflows, prompt patterns, and model integration; ensure reliability via evaluation and testing strategies.
• Cloud-native engineering: Deliver on AWS/Azure/GCP using microservices, containers, platform services (PaaS), and serverless (FaaS); design for scalability, resiliency, and cost awareness.
• DevSecOps & SRE practices: Implement CI/CD, automated testing, security scanning, observability (logs/metrics/traces), and operational readiness; drive incident learnings into engineering improvements.
• Delivery leadership: Lead sprint execution and quality gates; manage technical risks, dependencies, and environment readiness; coordinate across multiple teams/vendors where needed.
• Coaching & talent development: Mentor engineers, perform technical interviews, and build team capability in engineering fundamentals and GenAI.
• Stakeholder management: Translate business needs into technical plans; communicate tradeoffs and decisions clearly to technical and non-technical audiences.

Qualifications

Required

• 8+ years (adjustable) professional software engineering experience across modern full-stack development.
• 5+ years building cloud-native systems on AWS, Azure, and/or GCP using a mix of PaaS/FaaS/microservices.
• 3+ years of experience with multiple of the following: Angular and/or React, Node.js, Python, C#, .NET Core, Java, Golang, SQL and NoSQL (e.g., Postgres, SQL Server, MongoDB, DynamoDB, etc.)
• 2+ years hands-on experience delivering GenAI solutions in production or production-like environments.
• Prior experience with object-oriented programming (OOP), data structures/algorithms, secure coding, performance tuning, and maintainable design patterns.
• Prior experience designing and delivering API-first services (REST/GraphQL), authentication/authorization patterns, and integration with enterprise systems.
• Prior experience with lead code quality via code reviews, testing strategy, static analysis, and instrumentation.

• Prior experience with practical application of modern engineering methods/tools, such as: Agile/Lean delivery (e.g., XP, SAFe), DevSecOps (e.g., GitHub/Azure DevOps, pipeline automation, security scanning), Quality & governance tooling (e.g., SonarQube or equivalent), SRE fundamentals (SLIs/SLOs,
• Prior experience with one or more LLM ecosystems (as applicable): OpenAI, Anthropic Claude, Google Gemini, including integration patterns and responsible usage.

• Prior experience with GenAI enabling technologies and approaches: Orchestration frameworks (e.g., LangChain or equivalent), Vector databases and embedding workflows, Prompt engineering, structured prompting, and experimentation discipline, Fine-tuning and/or adapter-based approaches (when appropriate), Evaluation, guardrails, and safety practices (hallucination mitigation, grounding, policy controls)
• Prior experience with Python proficiency for GenAI pipelines, evaluation harnesses, and backend services.
• Must be able to obtain US Government security clearance.
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 132,700 to $ 221,200 .

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Tags - PXE_JOBS, EA_ITS_ExpHire