Responsibilities Data Engineer We are seeking a Data Engineer to join our dynamic Information Technology team in Pune, Maharashtra, India.

This role offers an outstanding opportunity to lead architectural build and implementation of innovative automation frameworks that support Responsible AI governance across the enterprise.

This role leads the design, build, and scale of automation frameworks that enable Responsible AI governance across the enterprise.

The engineer will own Python-based platforms that integrate risk, compliance, security, and AI lifecycle workflows—ensuring AI systems are auditable, compliant, and resilient.

This is a hands-on technical leadership role with strong architectural ownership and cross‑functional influence.

Job Responsibilities Lead architecture, development, and implementation of automation frameworks supporting Responsible AI governance across the enterprise.

Build scalable Python-based pipelines, governance utilities, risk-signal processors, and workflow engines.

Build and develop enterprise-grade connectors and integrations with Information Security and risk platforms, Credo, Coupa, Service Now, and other internal platforms.

Drive engineering roadmap for AI Governance tooling and automation; own backlog planning and prioritization.

Build metadata ingestion components, validation logic, and orchestration modules to streamline assessment workflows.

Improve observability, auditability, resilience, and performance of AI governance systems.

Collaborate with Legal, Risk, Compliance, Engineering, and Data teams to embed governance requirements into engineering build.

Conduct build reviews, code reviews, and enforce engineering guidelines.

Mentor and support junior developers and contractors; provide technical leadership for India engineering footprint.

Represent AI Governance engineering in architectural discussions, cross-functional forums, and enterprise governance initiatives.

Qualifications Qualifications 8+ years of experience in Python engineering, automation systems, backend development, or workflow orchestration.

Strong architectural skills: crafting enterprise-grade integrations, scalable pipelines, and resilient workflows.

Experience: integrating with platforms such as Service Now, Coupa, ISR, Credo, or similar enterprise systems.

Strong understanding of AI/ML, GenAI, agent frameworks, or MLOps concepts (preferred).

Experience: building automation engines, services that connect different software, validation frameworks, and metadata systems.

Proven ability to lead engineering teams, mentor developers, and drive technical direction.

Experience: working with governance, compliance, risk frameworks (preferred).

Hands-on experience in Agile/Scrum environments; strong communication and collaborator engagement skills.

Strong problem-solving, build thinking, and ability to manage complex technical initiatives.

Additional Information Focus Area: Responsible AI, Enterprise Automation, Governance Tooling Nice-to-Haves -

Experience: with AI/ML, GenAI, MLOps, or agent frameworks Familiarity with governance or compliance contexts Past work with Service Now, Coupa, Credo, or similar platforms Led distributed or offshore engineering teams At Principal Financial Group, we believe in the power of collaboration and are determined to successfully deliver world-class solutions.

This is your chance to join a dedicated team and make a significant impact on the future of AI governance.

If you are passionate about driving innovation and excellence, we want to hear from you!

Data Engineer We are seeking a Data Engineer to join our dynamic Information Technology team in Pune, Maharashtra, India.

This role offers an outstanding opportunity to lead architectural build and implementation of innovative automation frameworks that support Responsible AI governance across the enterprise.

This role leads the design, build, and scale of automation frameworks that enable Responsible AI governance across the enterprise.

The engineer will own Python-based platforms that integrate risk, compliance, security, and AI lifecycle workflows—ensuring AI systems are auditable, compliant, and resilient.

This is a hands-on technical leadership role with strong architectural ownership and cross‑functional influence.

Job Responsibilities Lead architecture, development, and implementation of automation frameworks supporting Responsible AI governance across the enterprise.

Build scalable Python-based pipelines, governance utilities, risk-signal processors, and workflow engines.

Build and develop enterprise-grade connectors and integrations with Information Security and risk platforms, Credo, Coupa, Service Now, and other internal platforms.

Drive engineering roadmap for AI Governance tooling and automation; own backlog planning and prioritization.

Build metadata ingestion components, validation logic, and orchestration modules to streamline assessment workflows.

Improve observability, auditability, resilience, and performance of AI governance systems.

Collaborate with Legal, Risk, Compliance, Engineering, and Data teams to embed governance requirements into engineering build.

Conduct build reviews, code reviews, and enforce engineering guidelines.

Mentor and support junior developers and contractors; provide technical leadership for India engineering footprint.

Represent AI Governance engineering in architectural discussions, cross-functional forums, and enterprise governance initiatives.

Qualifications 8+ years of experience in Python engineering, automation systems, backend development, or workflow orchestration.

Strong architectural skills: crafting enterprise-grade integrations, scalable pipelines, and resilient workflows.

Experience: integrating with platforms such as Service Now, Coupa, ISR, Credo, or similar enterprise systems.

Strong understanding of AI/ML, GenAI, agent frameworks, or MLOps concepts (preferred).

Experience: building automation engines, services that connect different software, validation frameworks, and metadata systems.

Proven ability to lead engineering teams, mentor developers, and drive technical direction.

Experience: working with governance, compliance, risk frameworks (preferred).

Hands-on experience in Agile/Scrum environments; strong communication and collaborator engagement skills.

Strong problem-solving, build thinking, and ability to manage complex technical initiatives.