{"id":4244388,"url":"https://alion.io/job/northern-trust-sr-associate-genai-engineer","title":"Sr.Associate - GenAI Engineer","company":{"id":1762433,"name":"Northern Trust","domain":"northerntrust.com","url":"https://alion.io/company/northerntrust","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":128,"ghost_share":0,"stale_share":0.68,"repost_share":0.031,"time_to_fill_p50_days":32,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Python","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Context Engineering","optional":true},{"name":"Embeddings","optional":true},{"name":"Function Calling","optional":true},{"name":"Git","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Reranking","optional":true},{"name":"Rest API","optional":true},{"name":"Semantic Search","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-11-13T12:22:23Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T02:06:34Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Northern Trust\nAs a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.\nSince 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.\nWith more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.\nPrimary Skills: Generative AI, Agentic AI, Python, LangChain/LangGraph Good to Have: Data Science, Machine Learning, MLOps, Statistical Analysis Major duties:\nDesign, develop, test, and maintain enterprise-grade Generative AI and Agentic AI applications.\n\nTranslate business requirements into scalable AI solutions and contribute to technical roadmaps.\n\nDevelop proof-of-concepts, feasibility studies, and solution prototypes for AI use cases.\n\nBuild intelligent agents and multi-agent workflows using Python, LangChain, and LangGraph.\n\nDevelop reusable AI services, APIs, tools, and orchestration components.\n\nDesign RAG solutions using structured and unstructured enterprise data.\n\nImplement prompt engineering, context management, agent memory, state management, and tool calling.\n\nDevelop evaluation frameworks covering accuracy, relevance, groundedness, safety, and agent performance.\n\nEnsure AI solutions are modular, scalable, secure, reliable, observable, and maintainable.\n\nIntegrate AI applications with enterprise systems, databases, knowledge repositories, and CI/CD pipelines.\n\nTroubleshoot issues and optimize AI solutions for quality, performance, and cost.\n\nCollaborate with cross-functional teams and follow Responsible AI, security, privacy, and governance standards.\n\nKnowledge:\nStrong expertise in Python programming and AI application development.\n\nHands-on experience with Generative AI, Large Language Models, and Agentic AI solutions.\n\nStrong working knowledge of LangChain, LangGraph, or similar agent-orchestration frameworks.\n\nGood understanding of prompt engineering, context engineering, structured outputs, and function/tool calling.\n\nExperience with agent memory, workflow state, session management, checkpointing, and multi-agent orchestration.\n\nStrong knowledge of RAG, embeddings, vector databases, semantic search, chunking, retrieval, and reranking techniques.\n\nExperience with LLM and agent evaluations, including groundedness, relevance, accuracy, safety, trajectory, and task-completion assessment.\n\nExperience developing REST APIs, microservices, and cloud-based applications.\n\nHands-on experience with Git, CI/CD pipelines, automated testing, and DevOps practices.\n\n•Knowledge of AI observability, tracing, monitoring, token usage, latency, and cost optimization.\n\nFamiliarity with Azure OpenAI, Azure AI Search, Azure AI Services, or equivalent cloud AI platforms.\n\nUnderstanding of Responsible AI, data privacy, application security, content safety, and governance controls.\n\nGood understanding of SDLC, Agile development practices, and engineering standards.\n\nGood-to-have knowledge of Data Science, Machine Learning, statistical analysis, data preparation, model evaluation, and MLOps.\n\nAbility to work independently and collaboratively within cross-functional teams.\n\nStrong analytical, debugging, and problem-solving skills.\n\nAbility to balance implementation details with broader architectural and business considerations.\n\nSelf-starter with a positive, adaptable, and continuous-learning mindset.\n\nStrong communication skills with the ability to engage effectively with technical and business stakeholders.\n\nExperience:\n5 to 7 years of relevant software engineering, AI Engineering, Data Engineering, Machine Learning, or related experience.\n\nHands-on experience designing and delivering GenAI, Agentic AI, or intelligent automation solutions.\n\nB.E./B.Tech/M.E./M.Tech/MCA or equivalent degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.\n\nWorking with Us\nAs a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.\nPhilanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.\nReasonable Accommodation\nNorthern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at , or alternatively you can discuss your individual requirements with the recruiter you are working with. \nAbout Our Pune Office\nThe Northern Trust Pune office, established in 2016, is now home to over 3,000 employees. The office handles various functions, including Operations for Asset Servicing and Wealth Management, as well as delivering critical technology solutions that support business operations across the globe.\nOur Pune team takes our commitment to service to heart. In 2024, they volunteered more than 10,000+ hours into the communities where they live and work. 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