The Specialist Software Engineer is responsible for designing, building, and scaling intelligent AI & Actuarial systems in 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.

Responsibilities

  • 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, LangChain, 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.  ​


Qualifications

  • 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 LangChain, 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. 

Preferred Qualifications

  • 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, CloudFormation, 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., OpenSearch, 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.  ​


Working Conditions

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


This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.

Compensation

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.

Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion. 

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

  

This is a hybrid position requiring three days in office per week in one of our hub locations (Philadelphia, PA; Cedar Rapids, IA; Denver, CO).  Relocation assistance will not be provided for this position.