Technical Project Manager

Role Overview

We are seeking a technically mature and hands-on Technical Project Manager - AI Projects, to drive the design,

governance, and execution of intelligent automation solutions across our enterprise. This role blends solution

architecture, delivery leadership, and team management to ensure successful implementation of RPA and AI-powered

solutions. The candidate will lead in-house delivery teams, govern outsourced development, and play a critical role in

shaping enterprise automation strategy with a focus on scalability, compliance, and business value.

Key Responsibilities

• Lead and mentor internal development teams building in-house AI and RPA solutions.
• Design end-to-end solution architectures integrating LLMs, RPA tools, APIs, and orchestration layers.
• Review, monitor, and validate deliverables from outsourced/partner-led development teams.
• Establish and enforce enterprise standards for security, scalability, and maintainability.
• Define and validate prompt engineering strategies, fallback orchestration, and grounding techniques in LLM

workflows.

• Drive reusability through design templates, component libraries, and solution accelerators.
• Translate business use cases into scalable, governable AI/RPA solutions.
• Collaborate with cybersecurity, data, and integration teams to ensure compliance.
• Provide technical governance for automation platforms and recommend improvements.
• Act as escalation point for architecture-related delivery challenges.
• Define best practices for documentation, testing, and architectural reviews.
• Provide leadership in large-scale automation rollouts across functions.
• Provision and manage Azure AI Foundry workspaces, compute, and model endpoints.
• Implement RBAC, secure access controls, and data governance policies.
• Partner with stakeholders to identify opportunities for AI-led process transformation.
• Participate in enterprise AI strategy forums and innovation committees.
• Contribute hands-on coding and solution development when required.
• Lead a team of developers to ensure end to end delivery of working system

Preferred Skills

• Strong proficiency in Python for developing orchestration layers, automation scripts, integration adapters, and

LLM prompt processing logic.

• Deep experience in building and deploying RPA and AI-driven automation solutions.
• Strong technical knowledge of any one of the RPA platforms (e.g., UiPath, Power Automate) and LLM/SLM

orchestration frameworks.

• Practical experience in designing scalable workflows involving AI agents, prompt logic, and fallback handling.
• Expertise in integrating automation solutions with SAP, SharePoint, Dataverse, and external APIs.
• Familiarity with CI/CD for automation pipelines and DevSecOps principles.
• Hands-on leadership in managing cross-functional delivery teams and outsourced vendors.
• Strong grasp of software engineering principles for large-scale enterprise automation programs.