Specialist Software Engineering - AI Engineer

We’re empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good — for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms.

Transamerica is organized into three distinct businesses. These include
1) World Financial Group, including Transamerica Financial Advisors,
2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and
3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.

- Collaborate with business and technical stakeholders to translate requirements into AI-driven solutions and agent workflows. pipelines leveraging vector databases and knowledge graphs.

Strong experience with
** Python & Spark
** for building AI, data, and agent-based applications. Hands-on experience with
** AWS Bedrock
** and large language models (LLMs). Experience using Lang Chain, Strands, or similar agent frameworks.

Experience building serverless solutions using
** AWS Lambda
** and
** API Gateway**. Solid knowledge of
** prompt & context engineering
** techniques and LLM optimization strategies. Experience integrating LLMs with enterprise systems via APIs. Strong problem-solving, communication, and collaboration skills.

- Experience with broader AI and agent frameworks, including
** hierarchical agents
** and autonomous agent architectures.

- Familiarity with
** Model Context Protocol (MCP)
** and emerging agent interoperability standards.

- Experience with Kiro or similar AI IDE tools for agent-assisted development workflows.

Experience with CI/CD pipelines, Infrastructure as Code (CDK, Cloud Formation, or Terraform), and version control (Git).Familiarity with containerization technologies such as Docker, Amazon ECS, or EKS for production AI deployments.

- Experience with AWS Quick Tools and AWS Frontier Agents.

- Hands-on experience with
** deep research agents
** and multi-step reasoning workflows.

- Experience implementing
** RAG
* * using
** Vector Databases** (e.g., Open Search, Pinecone, FAISS) and
** Graph Databases**.

- Knowledge of enterprise AI governance, security, and responsible AI practices.

- Experience in financial services or regulated enterprise environments.  The Salary for this position generally ranges between $131,000- $170,000 annually.
* Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including
* qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.
* Pension Plan
* 401k Match
* Employee Stock Purchase Plan
* Tuition Reimbursement
* Disability Insurance
* Medical Insurance
* Dental Insurance
* Vision Insurance
* Employee Discounts
* Career Training & Development Opportunities
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