AI Engineer - Manager

As a Manager within PwC's People Technology group, you will work with a cross?functional team of software engineers and data practitioners based in our Acceleration Centers (AC) in India or Mexico. You'll apply your deep software?engineering expertise in Python and Java to design, build, and deploy AI?enabled solutionssuch as intelligent agents for upskilling, workflow automation, and employee?experience platformswhile championing modern engineering practices and rapid adoption of emerging AI frameworks.

You will partner closely with US?based product owners and architects to translate business requirements into scalable, cloud?native services that deliver measurable value, all while fostering a culture of continuous learning and technical excellence.

PwC Professional Skills & Responsibilities (Manager Level)

• Act as a trusted coach

  and provide clear, actionable feedback to help your team grow.

• Lead with agility

  by breaking complex problems into iterative sprints, aligning priorities, and adapting plans as new information emerges.

• Uphold quality and security

  by enforcing rigorous code reviews, automated testing, secure coding standards, and compliance with Responsible AI principles.

• Simplify the complex

  by communicating technical concepts and trade?offs to stakeholders in clear, business?focused language.

• Build relationships

  across territories and functions, leveraging diverse perspectives to deliver innovative, inclusive solutions.

Key Responsibilities

1. Technical Leadership & Delivery

2. Architect, develop, and deploy microservices and APIs in Python and Java that integrate AI/ML models, vector databases, and agent?orchestration libraries (e.g., LangChain, LlamaIndex).
3. Drive adoption of CI/CD pipelines, automated testing, and observability tools to ensure high availability and rapid incident resolution.

4. Stakeholder Engagement & Road?mapping

5. Collaborate with product owners to refine backlogs, estimate effort, and prioritize features that deliver maximum business impact.

6. Innovation & Continuous Improvement

7. Evaluate and pilot emerging AI frameworks, agent toolkits, and LLM?powered services; rapidly prototype proof?of?concepts and scale successful experiments.
8. Contribute to firmwide engineering standards, reusable libraries, and best?practice documentation.

Minimum Years of Experience

8-13 years of professional software?engineering experience.

Preferred Knowledge & Skills

• Expert?level coding skills in

  Python and Java

  , with strong familiarity in at least one additional language (Go, TypeScript, or C#).
• Practical knowledge of

  LLM fine?tuning, context engineering, and vector search

  concepts.
• Experience with one or more of agentic frameworks like Langgraph, LangChain, LlamaIndex, Haystack, Semantic Kernel, AutoGen, etc.
• Hands?on experience with

  cloud?native architecture

  , containerization, and serverless patterns (e.g., AWS Lambda, GCP Cloud Functions).
• Proficiency with

  data pipelines

  (Airflow, Spark) and

  MLOps platforms

  (Kubeflow, MLflow) is a plus.
• Demonstrated success

  delivering AI or data?driven products

  in an agile environment.
• Strong

  communication, stakeholder management, and negotiation

  skills across time zones.
• Ability to

  thrive in ambiguity

  and rapidly learn new frameworks, SDKs, and tooling.

PwC is proud to be an inclusive, equal?opportunity employer.