BENGALURU · FULLTIME
Applied AI ML Lead

Hackajob
Bengaluru · onsite · Posted 13d ago
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Section · 01
About this role
*hackajob is collaborating with
J.P. Morgan to connect them with exceptional professionals for this role.*
Job Description Promote design and delivery of agentic AI that improves Software quality, security and resilience in regulated settings As an Applied AI ML Lead within JP Morgan Chase Asset & Wealth Management Technology, you will lead the design and delivery of agentic AI solutions that improve software quality, security, and resiliency in a regulated environment. You will build and scale autonomous agents that detect and auto-remediate code and infrastructure definitions that fall short of wellâarchitected principles and firm engineering governance standards spanning the inner loop (IDE-time) and the outer loop (CI/CD pipeline-time compensating controls that prevent non-compliant changes from reaching production).
Job Responsibilities
- Own end-to-end technical direction for agentic capabilities: architecture, delivery plan, reliability, security, and adoption.
- Design and implement LLM-driven agents for code generation/refactoring, standards conformance, test creation, documentation updates, release readiness checks, and operational insights.
- Establish safe âauto-healâ patterns: diff/PR-based remediation, risk-tiered actions, human-in-the-loop approvals, and explainable decisions.
- Build orchestration and coordination for multi-agent workflows (e.g., LangGraph / AutoGen or similar): state management, tool-calling, structured outputs, and guardrails.
- Implement outer-loop pipeline agent stages as compensating controls: policy checks, risk scoring, exception routing, evidence collection, and release gating.
- Define and run a rigorous evaluation program: regression suites, golden datasets, adversarial testing, prompt/model versioning, rollout controls, and continuous monitoring.
- Partner with governance, security, platform engineering, and application teams to translate standards into enforceable automation and measurable outcomes.
- Mentor and raise the bar for engineering quality through design reviews, coaching, and setting team best practices.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Significant software engineering experience with proven technical leadership delivering production systems at scale.
- Demonstrated experience building/shipping LLM-enabled applications (agents/tool use, structured outputs/validation, grounding/RAG, observability).
- Strong SDLC understanding across IDE/inner loop, PR workflows, and CI/CD/outer loop in regulated environments.
- Security-first engineering mindset: least privilege, secrets hygiene, auditability/traceability, change controls, and secure-by-design automation.
- Excellent stakeholder communication; ability to drive alignment across engineering, product, security, and governance.
Preferred Qualifications, Capabilities, And Skills
- Python (FastAPI/Pydantic) and strong distributed systems/reliability background.
- Experience building automated remediation (codemods/refactoring tools) and policy/guardrail systems with explain ability.
- Strong observability discipline (logs/metrics/tracing; OpenTelemetry and common monitoring platforms).
ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â
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Section · 02
Skills
Section · Company
About Hackajob

Hackajob
51-200
employees
2014
12 years old
London, England
United Kingdom
About
Technology continues to drive the world forward. From rockets that land themselves in the middle of the ocean to AI that continues to shatter the status quo, ultimately, it's the people behind these activities that are writing the code to build the future of the world, today.
hackajob exists to bring these people together with the companies that need them to continue driving the world forward. To continue building the future.
By creating the best-in-class experience with a candidate-centric platform, tech professionals can leverage our platform to learn new skills, participate in community events, engage directly with employers and ultimately, find their next role.
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Our platform is underpinned by over 50 million first-party data points on technical professionals that leverage proprietary AI models to enable companies to get an 85% response rate, to individuals they message via our marketplace; whilst reducing the number of applications to make a hire by 7x.
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