{"id":2983092,"url":"https://alion.io/job/wells-fargo-principal-engineer-genai-in-sdlc-java-agentic-ai","title":"Principal Engineer – GenAI in SDLC (Java & Agentic AI)","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":3,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":72000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Cursor","optional":false},{"name":"Devin","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Milvus","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-10-21T07:56:32Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-28T09:35:41Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About this role:\nWells Fargo is seeking a Principal Engineer to lead the transformation of software engineering through AI-Augmented and Agentic Software Development. This role will define and drive the enterprise strategy, architecture, and implementation of Generative AI, AI Agents, AI Teammates, and Intelligent Automation across the Software Development Lifecycle (SDLC).\nAs a key technical leader, you will establish enterprise-wide engineering patterns that enable developers to leverage AI safely, effectively, and at scale. You will partner across Developer Platforms, Internal Developer Portal (IDP), CI/CD, Knowledge Foundation, and Agentic Engineering initiatives to accelerate software delivery, improve developer productivity, enhance engineering quality, and advance Wells Fargo's AI-first engineering transformation.\nIn this role, you will:\nAct as the enterprise technical authority for AI-Augmented SDLC, Agentic Engineering, and AI-Native Software Development practices.\nDefine the technical vision, architecture, and roadmap for integrating Generative AI capabilities across the software development lifecycle.\nLead enterprise-wide adoption of AI Agents, AI Teammates, Developer Assistants, and Intelligent Automation platforms.\nEstablish reusable frameworks, standards, governance models, and reference architectures for AI-enabled engineering solutions.\nDesign and implement autonomous and semi-autonomous AI Agents supporting software planning, development, testing, code review, vulnerability remediation, release automation, documentation generation, and knowledge discovery.\nDefine Multi-Agent and Human-in-the-Loop architectures that balance automation, engineering productivity, and operational risk management.\nBuild enterprise integrations leveraging Model Context Protocol (MCP), Knowledge Foundation platforms, retrieval systems, and developer productivity tooling.\nDrive the integration of Generative AI capabilities across Internal Developer Portals, CI/CD platforms, IDEs, developer workflows, and release pipelines.\nEstablish self-service AI engineering capabilities that enable development teams to accelerate software delivery while improving quality and consistency.\nDevelop enterprise observability, telemetry, adoption, and value realization strategies for AI-enabled engineering solutions.\nPartner with Security, Risk, Compliance, Architecture, and Technology leadership teams to establish responsible AI governance and controls.\nInfluence engineering strategy across multiple technology organizations and serve as a trusted advisor to senior technology executives.\nMentor Principal Engineers, Distinguished Engineers, Architects, and Engineering leaders while establishing enterprise standards for AI-Native Software Engineering.\nRequired Qualifications:\n7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\nStrong Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.\n5+ years of experience architecting and building enterprise-scale distributed systems and cloud-native platforms.\nExtensive experience designing and scaling developer platforms, software engineering ecosystems, and enterprise engineering capabilities.\nDemonstrated success defining technology strategy and influencing architecture decisions across large, complex organizations.\nStrong expertise in Java-based engineering, microservices architecture, cloud-native application development, and modern software engineering practices.\nExperience implementing enterprise DevOps, CI/CD, platform engineering, and developer productivity solutions.\nExperience evaluating, implementing, or scaling AI-enabled engineering capabilities, developer assistants, or intelligent automation platforms.\nStrong leadership, stakeholder management, and enterprise architecture communication skills.\nDesired Qualifications:\nExperience leading enterprise AI transformation, AI-Augmented SDLC, or Agentic Engineering initiatives.\nDeep understanding of Generative AI platforms, Large Language Models (LLMs), and AI application architectures.\nExperience with AI coding platforms including GitHub Copilot Enterprise, Devin AI, Claude Code, Cursor, or similar AI-assisted development tools.\nExpertise with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or OpenAI Agents Framework.\nExperience building Multi-Agent Systems, Human-in-the-Loop architectures, AI Teammates, and autonomous workflow orchestration solutions.\nKnowledge of Model Context Protocol (MCP), enterprise tool integration, context engineering, and developer workflow automation.\nExperience implementing Retrieval Augmented Generation (RAG), enterprise search, semantic search, and knowledge foundation capabilities.\nExperience with vector databases and AI retrieval platforms including Azure AI Search, Pinecone, Weaviate, Milvus, or similar technologies.\nDeep understanding of AI governance, AI observability, model evaluation, prompt engineering, agent evaluation, and responsible AI practices.\nFinancial services or highly regulated industry experience preferred.\nStrong thought leadership demonstrated through enterprise transformation initiatives, technical publications, conference presentations, or industry contributions.\nJob Expectations:\nLead the enterprise roadmap and technical strategy for AI-Augmented SDLC and Agentic Engineering capabilities.\nDrive adoption and measurable business outcomes from AI-enabled engineering solutions across multiple technology organizations and business lines.\nEstablish enterprise engineering standards, governance patterns, and operating models for AI-Native Software Development.\nInfluence the future direction of Developer Experience, Platform Engineering, and Intelligent Software Delivery capabilities.\nPartner closely with senior technology leadership, risk, compliance, and security organizations to ensure responsible and scalable implementation of AI capabilities.\nMentor and develop senior technical talent across Engineering, Architecture, and Platform organizations.\nStay current on industry trends, emerging AI technologies, agentic frameworks, and modern software engineering practices.\nAbility to communicate complex technical concepts effectively to executive leadership, technical teams, and cross-functional stakeholders.\nHybrid work model and occasional travel may be required based on business needs.\nPosting End Date:\n27 Oct 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.\nEmployees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.\nCandidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. 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