Senior AI Engineer – Agentic AI & Generative AI

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

Join our team to help deliver next-generation AI capabilities that transform how business processes are automated, optimized, and enhanced through Generative AI and Agentic AI solutions.

We are seeking a highly skilled Senior AI Engineer with hands-on experience designing, building, integrating, and deploying enterprise-scale AI applications. This role focuses on leveraging, integrating, and orchestrating existing foundation models and AI services to solve real business problems through intelligent agents, agentic workflows, Retrieval-Augmented Generation (RAG), and enterprise integrations.

Unlike traditional AI research roles, this position emphasizes the integration, orchestration, and operationalization of existing AI capabilities rather than the development of foundational models.

You will partner closely with software engineers, architects, data engineers, and business stakeholders to take AI solutions from concept and prototype through production deployment. The ideal candidate combines strong Python engineering skills with practical experience developing AI-powered applications using Amazon Bedrock, AWS, Snowflake, and modern agent development frameworks.

Your Primary Responsibilities

:

Build Enterprise AI Solutions

• Design, develop, test, and deploy Generative AI and Agentic AI applications using Amazon Bedrock, AWS, and related AI technologies.
• Build intelligent AI agents and multi-agent systems that automate and enhance business workflows.
• Develop scalable AI-powered solutions that integrate seamlessly with enterprise applications and platforms.

Design Agentic Architectures

Design and implement agent orchestration patterns, including:

Supervisor and coordinator agents

Specialized task agents

Routing and decisioning frameworks

Context and memory management

Workflow execution and monitoring

Build multi-step reasoning workflows that effectively combine LLM intelligence with enterprise systems and business processes.

Develop AI Integrations

Integrate AI agents with

REST APIs

Enterprise applications

Internal platforms and services

Databases and data platforms

External tools and third-party systems

Create secure and reusable tools, APIs, and integration layers that enable agent interaction with enterprise systems.

Implement Knowledge-Driven AI

• Design and deliver Retrieval-Augmented Generation (RAG) solutions using enterprise documents, structured data, and knowledge repositories.
• Implement embeddings, vector search, document retrieval, and knowledge-grounding strategies to improve AI accuracy and business outcomes.
• Select and leverage appropriate foundation models based on business and technical requirements.

Build Production-Ready AI Applications

• Develop backend AI services primarily using Python.
• Design prompts, agent instructions, tool definitions, workflows, and AI guardrails.
• Deploy and support AI applications within AWS and OpenShift (OCP) environments.
• Implement logging, monitoring, evaluation, security, observability, and operational controls for enterprise AI workloads.

Drive Engineering Excellence

• Collaborate across engineering, architecture, product, and business teams to identify and deliver AI-enabled solutions.
• Troubleshoot and resolve issues involving models, agents, APIs, integrations, and downstream systems.
• Establish reusable engineering patterns, best practices, and governance standards for Agentic AI development.
• Provide technical leadership and mentorship to engineers and development teams.

Qualifications

• 6-8 years of hands-on experience in Software Engineering, AI Engineering, Data Engineering, or related technical disciplines.
• Demonstrated success delivering production-grade AI, Machine Learning, or Generative AI solutions.
• Experience translating business use cases into scalable AI-enabled applications.

Talent Needed for Success

AI & Software Engineering

• Strong hands-on programming expertise in Python.
• Experience developing and deploying Generative AI and LLM-powered applications.
• Strong experience with Amazon Bedrock and AWS-based AI services.
• Experience designing and implementing AI agents and agentic workflows.

Strong understanding of

Agent orchestration

Multi-agent architectures

Tool/function calling

Agent memory

Context management

Prompt engineering

AI & Data Platforms

Hands-on experience with

Retrieval-Augmented Generation (RAG)

Embeddings

Vector databases and vector search

Knowledge retrieval systems

Enterprise document processing

Strong Snowflake, SQL, and data integration experience.

Enterprise Integration

Experience integrating AI solutions with:

REST APIs

Enterprise applications

Databases

Internal and external services

Experience deploying, supporting, and monitoring AI solutions in production environments.

Security & Governance

Strong understanding of

Authentication and authorization

Enterprise security and data privacy

Secrets management

Responsible AI practices

AI governance and guardrails

Professional Skills

• Excellent analytical, problem-solving, and debugging skills.
• Strong verbal and written communication skills.
• Ability to effectively collaborate with engineering and business stakeholders.
• Demonstrated ability to work in fast-paced, highly collaborative environments.

Professional Skills

Experience with Agentic AI frameworks such as:

CrewAI

LangGraph

AutoGen

Similar orchestration frameworks

• Experience with Model Context Protocol (MCP).
• Experience building complex multi-agent collaboration systems.
• Experience with AI evaluation, monitoring, and observability frameworks.
• Experience using Kiro or other AI-assisted development tools.
• Experience with OpenShift (OCP), containers, and cloud-native deployments.
• Experience implementing CI/CD pipelines and DevOps practices for AI applications.
• Familiarity with Snowflake Cortex AI capabilities.
• Knowledge of enterprise AI governance, model monitoring, and responsible AI principles.

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 ap