Senior AI Developer - Agentic Workflows
First seen by Alion on Oct 23, 2026.
Senior AI Developer
Flexibility Option : Hybrid, 3 days in office.
Location : Pune.
About Principal :
With more than 19,000 employees worldwide, Principal helps people and companies in Asia, Australia, Europe, Latin America, and North America build and protect their financial well-being. We've been doing this for 143 years. A FORTUNE 500 company, we're known for our innovative ideas and real-life solutions that help customers make financial progress, no matter their income or portfolio size. Principal (India) is the global business services (GBS) for Principal Financial Group with 4000+ employees.
Job Purpose :
The Senior AI Agent Developer will design, build, test, deploy, and improve production-grade AI agents and agentic workflows that solve defined business problems. This is a senior hands-on developer role. The role will translate business requirements and technical designs into secure, maintainable software using large language models, retrieval-augmented generation, tool calling, APIs, MCP servers, and agent orchestration frameworks.
Essential Deliverables :
- Design, build, and deploy AI agents, copilots, and agentic workflows leveraging enterprise AI platforms such as AWS AgentCore and MS Copilot Studio.
- Develop and orchestrate multi-agent solutions using modern orchestration frameworks, ensuring effective state management, routing, memory, tool selection, and human-in-the-loop controls.
- Design and implement Retrieval-Augmented Generation (RAG) solutions, including knowledge ingestion, embeddings, vector search, retrieval optimization, and source attribution.
- Integrate AI agents with enterprise applications, databases, knowledge repositories, APIs, and cloud services.
- Build and manage MCP-enabled integrations to securely expose enterprise tools, data, and services to AI agents.
- Implement robust tool calling, function execution, validation, security controls, and audit logging.
- Develop reusable AI components, prompts, connectors, and frameworks while maintaining high standards of code quality, testing, and documentation.
- Conduct functional, performance, security, and responsible AI testing, ensuring solutions are resilient against hallucinations, prompt injection, data leakage, and misuse.
- Establish monitoring and observability mechanisms to track agent performance, adoption, quality, cost, and business outcomes.
- Collaborate with business stakeholders to translate requirements into scalable AI solutions.
Qualifications :
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
- 8 - 10 years of experience in software engineering, automation, data, or AI application development.
- Proven experience delivering AI/GenAI solutions from prototype through production deployment.
- Strong background in integrating AI solutions within enterprise platforms and governed, security-conscious environments.
- Excellent communication skills with the ability to articulate technical concepts, evaluate trade-offs, document solutions, and drive user adoption.
Skills
Artificial Intelligence, Agentic AI, Generative AI, RAG, Prompt Engineering, AWS, Data Science