
Senior Lead Software Engineer- Python AI
Plano, TXFull-time$176–260K/yrSeen 1w agoSeen in employer's feed 1w ago
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At a glance
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Job overview
The Senior Lead Software Engineer will enhance products by delivering AI-driven features and building production-grade AI applications, including LLM workflows, RAG solutions, and agentic systems. The role establishes AI engineering standards, guides architecture and risk controls, and partners with cross-functional stakeholders. It also includes hands-on development, technical evaluations, team enablement, and end-to-end ownership of outcomes.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Senior Lead Software Engineer- Python AI
Plano, TX, United States
and 3 more
Job Information
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Job Identification 210797620
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Job Category Software Engineering
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Business Unit Corporate Sector
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Posting Date 10/20/2026, 04:26 PM
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Locations 8181 Communications Pkwy Bldg F, Plano, TX, 75024, US
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Job Schedule Full time
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Base Pay/Salary Jersey City,NJ $175,750.00-$260,000.00
Job Description
Job Responsibilities
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Enhance multiple products across the product line by identifying, prioritizing, and delivering AI-driven features that improve user experience, efficiency, and operational resilience
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Design, build, and deploy production-grade AI applications including LLM-powered workflows, Retrieval-Augmented Generation (RAG) solutions, and agentic systems
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Build agentic workflows with enterprise-ready controls (identity, authorization, guardrails, tracing, evaluation, and auditability)
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Develop automation solutions that reduce manual effort and eliminate recurring operational issues, including self-healing patterns and intelligent triage
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Architect AI systems with production concerns in mind: latency, scalability, cost management, model selection, observability, reliability, and failure modes (including hallucinations and tool errors)
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Establish and apply AI engineering standards across the product line (prompting patterns, RAG design standards, evaluation practices, logging/telemetry, and release readiness criteria)
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Drive AI architecture reviews and contribute to reference architectures for model hosting, orchestration, data access, and secure tool execution
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Identify and mitigate risks across the AI lifecycle including data privacy, security, bias, model misuse, prompt injection, and third-party/vendor risk , and ensure appropriate documentation and controls
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Partner with product, design, risk, legal/compliance, and engineering stakeholders to align on outcomes, constraints, and measurable success metrics
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Lead technical evaluations with vendors and platform providers ; assess capabilities, integration fit, security posture, and total cost of ownership
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Research emerging AI capabilities (models, frameworks, tools) and translate findings into practical guidance , prototypes, and adoption recommendations
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Educate and enable teams through documentation, workshops, design reviews, and coaching to raise AI fluency and delivery consistency across the organization
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Execute creative software solutions, technical troubleshooting, and hands-on development; write secure, high-quality production code and review/debug code written by others
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Influence stakeholders and drive alignment across teams without direct authority, owning outcomes end-to-end
Required Qualifications, Capabilities, and Skills
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Formal training or certification in software engineering concepts and 5+ years of applied engineering experience
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Hands-on experience delivering AI-powered features in production or near-production environments (LLMs, RAG, agents, workflow automation, or decision support systems)
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Strong proficiency in Python (and ability to build maintainable services, libraries, and pipelines)
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Experience building APIs and services using Django, FastAPI, or similar frameworks
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Experience building modern UIs using React or similar frameworks (or strong ability to partner closely with frontend teams)
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Strong system design skills with an emphasis on secure distributed systems , reliability, and operational excellence
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Practical understanding of Responsible AI / model risk concepts (evaluation, guardrails, privacy, bias, explainability where applicable, and safe deployment practices)
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Experience implementing observability (logging, metrics, tracing) and AI-specific monitoring (quality, drift signals, latency, cost, error rates)
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Experience with cloud platforms (AWS preferred) and containerized deployments
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Strong problem-solving skills with a structured, evidence-based approach; comfortable operating in ambiguity and delivering iteratively
Preferred Qualifications, Capabilities, and Skills
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Experience with AI orchestration and agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, CrewAI , or similar)
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Experience with vector search and retrieval patterns including pgvector, Pinecone, Weaviate, OpenSearch/Elastic , or similar
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Experience designing and operating RAG systems (chunking strategies, retrieval evaluation, citation/attribution patterns, caching, fallback behaviors)
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Familiarity with AI governance and standards (model documentation, risk assessments, control frameworks, secure-by-design patterns) and applying them to real delivery timelines
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Strong Infrastructure-as-Code experience (e.g., Terraform ) and CI/CD practice, data engineering ecosystems (e.g., Databricks , streaming, data quality controls, lineage concepts)
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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
How this job compares
Set against the 7,741 open Software Engineering jobs on Olive Jobs, counted October 28, 2026.
- Pay
- This posting$176–260K/yr
- Texas median$133–231K/yr251 salary ranges
- US median$147–245K/yr5,807 salary ranges
This range's midpoint, $218K, is 20% above the Texas median midpoint ($181K) — in the top quarter of Software Engineering salary ranges in Texas.
- Openings
- Olive Jobs lists 458 open Software Engineering jobs in Texas and 7,741 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- JPMorgan Chase (this employer)57 open
- Deloitte36 open
- Accenture20 open
- Experience
- This posting asks for at least 5 years of experience; Software Engineering postings that state a minimum ask for 7 years at the median (6,037 postings).
- Education
- 2,155 of the 7,741 open Software Engineering jobs (28%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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