Consultant - Infrastructure Engineer

Responsibilities Are you passionate about crafting the future of technology? At Principal, we are seeking a highly motivated and dedicated Consultant - Infrastructure Engineer to join our dynamic team in Pune, Maharashtra, India. This outstanding opportunity allows you to work with world-class technology and collaborate with skilled professionals to drive innovative solutions! Responsibilities Develop, test, launch, and enhance agentic AI solutions and automations tailored to Colleague Services use cases. Translate business/service opportunities into automated journeys and measurable outcomes. Rapidly learn and apply new platforms and frameworks to build agents, orchestrations, and workflow automations. Partner with collaborators to identify use cases through data analysis, operational insights, and colleague difficulties, and then complete delivery end-to-end. Maintain strong engineering rigor: documentation, quality checks, safe deployments, and operational readiness. Agentic AI Engineering & Delivery (≈50%) Build and develop AI agents and automations for prioritized Colleague Services use cases. Prototype quickly, validate with users/ops teams, and iterate based on feedback and performance metrics. Build integrations and orchestrations across enterprise platforms using APIs, connectors, and workflow tools. Apply modern agentic concepts such as multi-step task execution, tool/function calling patterns, and grounding via enterprise knowledge sources. Stay current with evolving agentic ecosystem and bring forward practical adoption ideas while keeping solutions enterprise-safe. Use Case Discovery & Data-Informed Automation (≈25%) Identify and size automation opportunities by analyzing ticket/request patterns, repeatable manual work, deflection/containment signals, and common colleague friction points. Convert insights into a prioritized backlog of automations with clear scope, encouraged impact, success metrics, and rollout/enablement plan. Track outcomes post-deployment and continuously improve. Operational Excellence & Reliability (≈15%) Ensure delivered automations/agents are production-ready with monitoring signals, operational playbooks, documentation, and support readiness. Participate in incident/problem reviews for automation-related failures, drive root cause fixes, and preventive improvements. Maintain standards for secure development and responsible AI use as per enterprise expectations. Collaboration & Partner Partnership (≈10%) Work with service owners, SMEs, and operations teams to refine requirements and validate outcomes. Communicate progress, risks, and decisions clearly; bring up early when constraints appear. Contribute to team rituals/cadence: backlog refinement, demos, retros, and documentation reviews. Qualifications Qualifications Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience. Strong hands-on capability in automation and building production solutions. Demonstrated ability to learn new tools quickly and apply them to real business problems. Working knowledge of agentic AI platforms, workflow automation, API integrations, scripting/programming, and Azure AI Foundry or AWS Bedrock. Strong problem-solving, communication, and documentation skills. Comfort working in an Agile delivery model and delivering iteratively. Additional Information Our Engineering Culture Through our product-driven Agile/Lean DevOps environment, we’ve fostered a culture of innovation and experimentation across our development teams. As a customer-focused organization, we work closely with our end users and product owners to understand and rapidly respond to emerging business needs. Collaboration is embedded into everything we do – from the products we develop to the quality service we provide. We’re driven by the belief that diversity of thought, background, and perspective is critical to creating the best products and experiences for our customers. Experience Principal At Principal, we value connecting on both a personal and professional level. Together, we’re imagining a more purpose-led future for financial services – and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits. Principal is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Are you passionate about crafting the future of technology? At Principal, we are seeking a highly motivated and dedicated Consultant - Infrastructure Engineer to join our dynamic team in Pune, Maharashtra, India. This outstanding opportunity allows you to work with world-class technology and collaborate with skilled professionals to drive innovative solutions! Responsibilities Develop, test, launch, and enhance agentic AI solutions and automations tailored to Colleague Services use cases. Translate business/service opportunities into automated journeys and measurable outcomes. Rapidly learn and apply new platforms and frameworks to build agents, orchestrations, and workflow automations. Partner with collaborators to identify use cases through data analysis, operational insights, and colleague difficulties, and then complete delivery end-to-end. Maintain strong engineering rigor: documentation, quality checks, safe deployments, and operational readiness. Agentic AI Engineering & Delivery (≈50%) Build and develop AI agents and automations for prioritized Colleague Services use cases. Prototype quickly, validate with users/ops teams, and iterate based on feedback and performance metrics. Build integrations and orchestrations across enterprise platforms using APIs, connectors, and workflow tools. Apply modern agentic concepts such as multi-step task execution, tool/function calling patterns, and grounding via enterprise knowledge sources. Stay current with evolving agentic ecosystem and bring forward practical adoption ideas while keeping solutions enterprise-safe. Use Case Discovery & Data-Informed Automation (≈25%) Identify and size automation opportunities by analyzing ticket/request patterns, repeatable manual work, deflection/containment signals, and common colleague friction points. Convert insights into a prioritized backlog of automations with clear scope, encouraged impact, success metrics, and rollout/enablement plan. Track outcomes post-deployment and continuously improve. Operational Excellence & Reliability (≈15%) Ensure delivered automations/agents are production-ready with monitoring signals, operational playbooks, documentation, and support readiness. Participate in incident/problem reviews for automation-related failures, drive root cause fixes, and preventive improvements. Maintain standards for secure development and responsible AI use as per enterprise expectations. Collaboration & Partner Partnership (≈10%) Work with service owners, SMEs, and operations teams to refine requirements and validate outcomes. Communicate progress, risks, and decisions clearly; bring up early when constraints appear. Contribute to team rituals/cadence: backlog refinement, demos, retros, and documentation reviews. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience. Strong hands-on capability in automation and building production solutions. Demonstrated ability to learn new tools quickly and apply them to real business problems. Working knowledge of agentic AI platforms, workflow automation, API integrations, scripting/programming, and Azure AI Foundry or AWS Bedrock. Strong problem-solving, communication, and documentation skills. Comfort working in an Agile delivery model and delivering iteratively.