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Software Engineer II - Gen AI/ Agentic AI

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer II - Gen AI/ Agentic AI

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

We are seeking a Software Engineer II at JPMorgan Chase within the Business Banking group to design and deliver AI-powered technology products. The role involves defining the AI-driven validation roadmap, embedding end-to-end AI checks in campaign workflows, and building AI/ML models to support pre-launch decisions, with an emphasis on security, stability, and scalability. You will collaborate with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities, automate quality metrics, and provide executive-ready insights on the portfolio roadmap. The position is part of an agile team delivering market-leading technology in a secure, customer-focused manner.

Location: Hyderabad, Telangana, India

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer II at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.

 

Job Responsibilities:

  • Define the AI‑driven validation roadmap across Business Banking.
  • Architect and embed end‑to‑end AI checks into campaign authoring and execution workflows for all channels.
  • Build AI/ML models to enhance final reads (pre‑launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.
  • Partner with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across  CCB sub‑LOBs.
  • Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
  • Provide executive‑ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
  • Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
  • Champion quality‑as‑a‑service: prevent errors and drive continuous improvement in validation processes.
  • Demonstrate customer obsession by understanding and improving the end‑to‑end customer experience.

Required qualifications, capabilities and skills:

  • Formal training in software engineering concepts and 2+ years of applied experience.
  • Experience of Gen AI builds, Agents, and MCP.
  • Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with machine learning and deep learning methods.
  • Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong programming skills in languages such as Python, R, or Java.
  • Ability to design and implement complex algorithms for recommendation systems and trend analysis.
  • Experience in data integration and real-time data processing.
  • Understanding of marketing and campaign testing processes.

Preferred Qualifications:

  • Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • Experience of all LLM models and their capabilities
  • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
  • Prior experience in credit card marketing and in-market testing.
  • Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
  • Bachelor’s degree required with 3+ years of experience required.
  • Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way

Software Engineer II - Gen AI/ Agentic AI

at J.P. Morgan

Back to all Python jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Software Engineer II - Gen AI/ Agentic AI

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

We are seeking a Software Engineer II at JPMorgan Chase within the Business Banking group to design and deliver AI-powered technology products. The role involves defining the AI-driven validation roadmap, embedding end-to-end AI checks in campaign workflows, and building AI/ML models to support pre-launch decisions, with an emphasis on security, stability, and scalability. You will collaborate with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities, automate quality metrics, and provide executive-ready insights on the portfolio roadmap. The position is part of an agile team delivering market-leading technology in a secure, customer-focused manner.

Location: Hyderabad, Telangana, India

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer II at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm’s strategic objectives, ensuring security, stability, and scalability.

 

Job Responsibilities:

  • Define the AI‑driven validation roadmap across Business Banking.
  • Architect and embed end‑to‑end AI checks into campaign authoring and execution workflows for all channels.
  • Build AI/ML models to enhance final reads (pre‑launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.
  • Partner with Marketing, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across  CCB sub‑LOBs.
  • Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
  • Provide executive‑ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
  • Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
  • Champion quality‑as‑a‑service: prevent errors and drive continuous improvement in validation processes.
  • Demonstrate customer obsession by understanding and improving the end‑to‑end customer experience.

Required qualifications, capabilities and skills:

  • Formal training in software engineering concepts and 2+ years of applied experience.
  • Experience of Gen AI builds, Agents, and MCP.
  • Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with machine learning and deep learning methods.
  • Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong programming skills in languages such as Python, R, or Java.
  • Ability to design and implement complex algorithms for recommendation systems and trend analysis.
  • Experience in data integration and real-time data processing.
  • Understanding of marketing and campaign testing processes.

Preferred Qualifications:

  • Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • Experience of all LLM models and their capabilities
  • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
  • Prior experience in credit card marketing and in-market testing.
  • Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
  • Bachelor’s degree required with 3+ years of experience required.
  • Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way

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