Software Engineering Senior Associate (Python AND AI)

Job Description

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The impact you will have in this role:

We are seeking an experienced Generative AI / Agentic AI Engineer to design, develop, integrate, and deploy enterprise AI solutions using AWS, Amazon Bedrock, Kiro, Python, and related AI technologies.

The ideal candidate will have strong hands-on experience building production-ready AI agents and agentic workflows, with particular expertise in agent orchestration, tool/API integration, LLM application development, and cloud deployment.

This role will work closely with engineering and business teams to transform business use cases into scalable AI solutions, from initial prototyping through production deployment.

Primary Responsibilities:

• Design, develop, test, and deploy Generative AI and agent-based applications using Amazon Bedrock and AWS.
• Build AI agents and multi-agent workflows capable of handling complex business processes.
• Design agent orchestration patterns, including supervisor/coordinator agents, specialized agents, routing, context management, and workflow execution.
• Develop agent integrations with enterprise applications, APIs, databases, and external services.
• Develop reusable tools and APIs that allow agents to securely interact with enterprise systems.
• Implement RAG (Retrieval-Augmented Generation) solutions using enterprise documents and data sources.
• Work with appropriate foundation models/LLMs available through Amazon Bedrock, selecting models according to solution requirements.
• Use Kiro as part of AI application and agent development workflows.
• Develop backend AI services and integration components primarily using Python.
• Design prompt strategies, agent instructions, tool definitions, workflows, and guardrails.
• Build solutions supporting multi-step reasoning and tool execution while maintaining appropriate application controls.
• Deploy AI applications and agents into AWS environments and support their production lifecycle.
• Implement appropriate logging, monitoring, evaluation, error handling, security, and observability for AI solutions.
• Collaborate with application developers, architects, data engineers, and business teams to integrate AI capabilities into existing applications and workflows.
• Troubleshoot issues across models, agents, integrations, APIs, and downstream systems.
• Provide technical guidance and mentorship to other engineers and establish reusable development patterns for Agentic AI solutions.

AWS's current guidance includes multi-agent orchestration approaches in which a central supervisor routes requests to specialized agents, which aligns particularly well with the orchestration expertise you're looking for. [docs.aws.amazon.com]

Talent needed for success:

• 7+ years of software engineering, data/AI engineering, or related development experience, with strong recent experience in AI/ML or Generative AI.
• Strong hands-on programming experience with Python.
• Hands-on experience developing Generative AI / LLM applications.
• Strong experience with Amazon Bedrock and AWS-based AI solutions.
• Experience designing and implementing AI Agents and Agentic AI workflows.
• Strong understanding of agent orchestration and multi-agent architectures.
• Experience integrating AI agents with:
  • REST APIs
  • Enterprise applications
  • Databases
  • Internal services
  • External tools
• Experience with RAG, embeddings, vector search, document retrieval, and knowledge integration.
• Understanding of prompt engineering, context management, tool/function calling, and agent memory.
• Experience deploying AI applications into production environments.
• Strong understanding of authentication, authorization, secrets management, security, and data privacy considerations for enterprise AI.
• Strong SQL and data integration skills.
• Excellent problem-solving and debugging capabilities.
• Strong communication skills and ability to work across engineering and business teams.

Preferred Skills:

• Experience with Kiro for agentic/software development. AWS describes Kiro as an agentic coding service that supports specs, code, testing, API integrations, agent hooks, and other development activities. [aws.amazon.com]
• Experience with Amazon Bedrock AgentCore and/or Bedrock multi-agent capabilities.
• Experience with agent development frameworks such as Strands Agents, LangGraph, or similar frameworks.
• Experience with Model Context Protocol (MCP) and MCP-based integrations.
• Experience building multi-agent collaboration/orchestration solutions.
• Experience implementing AI application evaluation and monitoring.
• Experience with CI/CD and DevOps practices for AI applications.
• Familiarity with responsible AI, model governance, guardrails, and enterprise security.

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.