Specialist Software Engineering - AI Engineer

Job Description Summary

The Specialist Software Engineer is responsible for designing, building, and scaling intelligent AI & Actuarial systems in a Hybrid Cloud Environment with strong focus on AWS Cloud Services. This role focuses on developing production‑grade AI Applications, data engineering, APIs, and orchestration layers that enable advanced automation, deep research, and enterprise AI capabilities across the Finance organization.

• Serve as a technical lead for AI and agent‑based initiatives, including scoping, estimation, and architectural design of AI & Actuarial Applications.
• Design, develop, and deploy intelligent agents using AWS Bedrock, Lang Chain, Kiro, Graph DB, Strands, and related agent frameworks.
• Build and maintain applications using AWS agent core framework, orchestration layers, and hierarchical agent workflows to support complex reasoning and automation use cases.
• Develop secure, scalable APIs using AWS Lambda and API Gateway to expose AI and agent capabilities to downstream systems.
• Implement prompt engineering best practices to optimize model performance, accuracy, and reliability across use cases.
• Collaborate with business and technical stakeholders to translate requirements into AI‑driven solutions and agent workflows.
• Design and implement RAG (Retrieval Augmented Generation) pipelines leveraging vector databases and knowledge graphs.
• Develop, maintain and enhance actuarial applications with core focus on EC2, PySpark, AWS Glue, S3, Athena and other AWS services.
• Monitor, evaluate, and optimize LLM performance, cost, latency, and reliability in production environments.
• Support testing cycles by validating AI outputs, identifying gaps, and improving agent behavior through tuning and iteration.
• Ensure solutions meet enterprise standards for security, compliance, and responsible AI usage.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 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.
• Strong understanding of agent core design, multi‑agent systems, and orchestration patterns.
• 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.
• Build solutions to any complex business problem using AI‑Development Life Cycle methodology.
• 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.
• Exposure to model tuning, embeddings, and evaluation techniques.
• Knowledge of enterprise AI governance, security, and responsible AI practices.
• Experience in financial services or regulated enterprise environments.

• Hybrid‑Office Environment (Tuesdays, Wednesdays, Thursdays)
• Work outside of normal business hours may be required
• Moderate Travel 10 to 25%

The salary for this position generally ranges between $131,000 - $170,000 annually. Additionally, this position is typically eligible for an annual bonus based on the company’s bonus plan and is at the company’s discretion. Applicants must be authorized to work for any employer in the U.S.; the company is unable to sponsor or take over…