Program Consultant - Software Engineering
- Location
- Hyderabad, Telangana, India
- Work mode
- On-site
- Employment type
- Full-time
- Salary
- $0 – $0 / year
Skills mentioned
- Generative AI
- AWS (Bedrock, SageMaker)
- Java
- Spring Boot
- Microservices
- APIs
- Cloud-native architectures
- AI Agents/Agentic AI
- RAG (Retrieval-Augmented Generation)
- Model evaluation
- Enterprise architecture
- Responsible AI/governance
Picked out of the job description automatically; check the full description for what the employer asks for.
About the job
What You'll Do
As a Program Consultant - Software Engineering at Principal Financial Group, you will play a pivotal role in driving our AI-led transformation initiatives. This outstanding opportunity allows you to bring to bear your extensive expertise in enterprise technology and applied AI to develop high-impact solutions. Your responsibilities will include:
• Identifying and prioritizing high-value AI opportunities across engineering, platforms, operations, and modernization.
- Identifying and prioritizing high-value AI opportunities across engineering, platforms, operations, and modernization.
- Leading AI use cases from concept and feasibility assessment through pilot, production, adoption, and measurable value realization.
- Crafting, delivering, and modernizing large-scale enterprise applications using Java, Spring Boot, Microservices, APIs, and cloud-native architectures.
- Applying AWS cloud platforms and services, including Amazon Bedrock, Bedrock Agents, Knowledge Bases, SageMaker, and related AWS services to deliver enterprise AI solutions.
- Demonstrating a strong understanding of Generative AI, Agentic AI, AI Agents, A2A patterns, intelligent automation, Copilot and Claude capabilities.
- Applying your knowledge of timely engineering, RAG, grounding, model evaluation, orchestration, and human-in-the-loop patterns.
- Crafting reusable AI architecture patterns and integrating AI solutions with enterprise platforms, APIs, workflows, and data.
- Applying AI across SDLC, platform engineering, operations, application modernization, and cloud-native engineering environments.
- Ensuring Responsible AI practices, including security, privacy, model risk, data protection, and enterprise AI governance.
- Measuring AI outcomes through metrics such as efficiency, cycle time, efficiency, MTTR, quality, cost, adoption, and return on investment.
- Demonstrating strong enterprise leadership skills with the ability to influence and align engineering, platform, architecture, security, operations, and business teams.
- Translating emerging AI capabilities into practical enterprise solutions and measurable business outcomes.
Who You Are
Education Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline.
- Master’s degree in Computer Science, Engineering, Technology, Business, or a related field is preferred but not required.
- Relevant certifications in AWS, Cloud, AI/ML, Generative AI, or enterprise architecture are preferred.
- Equivalent combination of relevant education and significant enterprise technology experience may be considered.
From Principal Financial's careers page (Company careers page), checked 10 Nov 2026.
How to apply
- Select Apply on principal.com. It opens Principal Financial's own application form in a new tab, run on Company careers page.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Principal Financial will reply to you directly. No real employer asks you for money to apply.
Posted 10 Nov 2026 · checked 10 Nov 2026 · Report this job