{"id":2892696,"url":"https://alion.io/job/jpmorganchase-applied-ai-engineer-agentic-systems-senior-associate","title":"Applied AI Engineer - Agentic Systems - Senior Associate","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":954,"ghost_share":0.006,"stale_share":0.526,"repost_share":0.061,"time_to_fill_p50_days":9,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":143000,"max_usd":267000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":40},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Diffusion Models","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"LoRA","optional":true},{"name":"Model Distillation","optional":true},{"name":"PEFT","optional":true},{"name":"QLoRA","optional":true},{"name":"Quantization","optional":true}],"status":"live","first_seen_at":"2026-01-15T08:19:28Z","employer_posted_date":"2026-01-15","last_verified_at":"2026-10-22T11:47:54Z","board_verified":true,"closed_at":null,"days_open":280,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":279},"description":"Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement.\nAs an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported.\nJob Responsibilities:\nArchitect, develop, and productionize autonomous and assistive AI agents to enhance operations.\nDesign multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.\nImplement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.\nBuild and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.\nPractice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.\nDesign microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.\nPartner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.\nAnalyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.\nMentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\nRequired Qualifications, Capabilities, and Skills:\nAdvanced degree in Computer Science, Data Science, Machine Learning, or related field.\nExperience building and deploying agentic AI applications in production environments.\nExpertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\nProficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.\nHands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.\nKnowledge of generative models including transformers, GANs, VAEs, and diffusion models.\nUnderstanding of data preprocessing, feature engineering, and model/agent evaluation techniques.\nFamiliarity with cloud platforms and containerization technologies.\nStrong problem-solving skills and ability to work independently and collaboratively.\nEffective communication skills for technical and non-technical audiences.\nPreferred Qualifications, Capabilities, and Skills:\nExperience in financial services, especially investment banking operations.\nExperience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.\nFamiliarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.\nExperience with distributed computing, data sharding, and performance optimization.\nHands-on experience with AWS services related to AI deployment and workflow orchestration.\nWhy Join Us?\nWe offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. 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