Description

We are seeking a Manager – Technology Consulting (AI/GenAI & Agentic AI) with 10–15 years of overall experience, including 4-6 years of experience in AI/ML and GenAI/LLMs/Agentic AI. You will lead AI-led transformation for global clients—shaping strategy, architecting agentic AI workflows, and delivering end-to-end Proofs of Concept (POCs), Minimum Viable Products (MVPs) and production systems on cloud/on-prem.

This role includes consulting, applied AI engineering, and product development. You’ll run stakeholder discovery, translate complex business needs into working systems, and rapidly prototype using modern AI tooling. Day-to-day work is self-directed, with frequent client engagement and clear communication to both business and technical audiences.

Our Business

Organizations are adapting to new workforce and technology challenges—globalization, evolving demographics, rapid innovation, and regulatory demands.

At EY GDS People Advisory Services (PAS), we put humans at the center of transformation. We help clients align culture and leadership to purpose, build future-ready skills, and increase adaptability through continuous change and learning.

Our Technology Consulting and AI Transformation teams bring together strategy, engineering, data, design, and risk to deliver AI safely, responsibly, and at scale.

The opportunity

You’ll advise clients on AI strategy and operating models and lead hands-on delivery of Agentic AI, RAG (Retrieval-Augmented Generation), Conversational AI, and decision-support systems. You will design value frameworks, governance, and Responsible AI guardrails, and ensure measurable business outcomes.

You will also contribute to practice growth, reusable assets/accelerators, and mentoring.

Your key responsibilities

• Lead discovery workshops and identify high-impact automation/augmentation use cases.
• Define AI/GenAI/Agentic AI strategy, roadmaps, Target Operating Models, and value realization frameworks.
• Establish Responsible AI principles—privacy, fairness, explainability, lineage.
• Architect LLM-powered systems (RAG, multi-agent workflows, tool-calling, orchestration).
• Rapidly Prototypes Proofs of Concept (POCs) and Minimum Viable Products (MVPs) using Python, vector retrieval, APIs, and third-party integrations.
• Implement Large Language Model Operations (LLMOps) and Machine Learning Operations (MLOps)—evaluation harnesses, prompt/versioning, Continuous Integration / Continuous Deployment, observability.
• Manage multi-track program delivery—requirements to hypercare.
• Ensure security/compliance Personally Identifiable Information (PII), Protected Health Information (PHI), encryption, Role-Based Access Control (RBAC), Data Loss Prevention (DLP), and broader governance controls.
• Support pre-sales, Request for Proposal, thought leadership, accelerators, and asset development.
• Mentor Assistant Managers, Seniors, and Staff.

Skills and attributes for success

• Strong structured problem-solving and value-driven mindset.
• Excellent stakeholder management and communication.
• Ability to rapidly prototype using AI frameworks.
• Strong leadership, people development, and delivery excellence.
• Consulting presence with ability to simplify AI concepts for CXO/VP levels.

To qualify for the role, you must have

• Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field (Computer Science, Engineering, Mathematics, etc.)
• 10-15 years total experience including 4–6 years of experience in AI/ML and GenAI/LLMs/ Agentic AI.
• Strong Python skills and experience with LLM frameworks (LangChain, LangGraph, CrewAI, Declarative Self-Improving Python (DSPy), OpenAI Assistants).
• Experience with Azure OpenAI, Bedrock, Vertex AI.
• Hands-on experience implementing LLMOps, including tools such as MLflow, Weights & Biases (W&B), LangFuse, CI/CD pipelines, Docker, Kubernetes, and Infrastructure as Code (Terraform/Bicep).
• Cloud experience across Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
• Strong delivery management background.

Ideally, you’ll also have

• Advanced degree (M.Tech/MS/MBA) or premier institute background.
• Cloud/AI certifications (Azure AI Engineer, AWS ML, GCP ML, PMP/Scrum).
• Databricks, Snowflake, Synapse experience.
• React/UI exposure

What we look for

• We value curiosity, ownership, collaboration, and a growth mindset. If you are excited by AI’s potential and thrive in dynamic environments, you will fit right in.

What we offer

• Continuous learning and certifications.
• Flexible, impactful career pathways.
• Transformative leadership and coaching.
• Diverse and inclusive culture.
• Work with global EY teams on AI-at-scale programs.

Technical Competencies Table

• EXPERIENCED
  • You reflect the quality of experience and/or training needed to perform the most challenging aspects of the competency. You have developed a reputation for being a go to person in said area and can confidently engage with clients around this topic. You are able to support, advise and guide fellow engagement team members on this topic. You are currently applying your knowledge of this item and of EY's available principles, practices, and tools for your client's situation. You participate in senior level discussions regarding this competency and the focus is on broad organizational/professional issues.
• EXPERT
  • You have consistently demonstrated the competency across multiple projects and are recognized as a subject matter resource both externally to your client and internally to team members. You have extensive experience leading teams to apply and deliver this on client engagements. You work closely with clients to solve complex business problems and actively coach our clients in principles and practices related to this. You also get involved in method and learning content development and thought leadership / lead learning initiatives. You serve as a key resource, advise others and your focus is strategic.

EXPATRIATE TAX SERVICES COMPETENCIES

Roles

Technical knowledge, skills and abilities that are applicable to every role in this service offering Manager

• AI/GenAI Strategy & TOM - Define AI strategy, value cases, roadmaps, and Target Operating Models with governance. - Expert
• Agentic AI Architecture - Design multi-agent workflows, tool/function-calling, orchestration, and guardrails. - Expert
• RAG & Retrieval Optimization - Architect hybrid retrieval, chunking, re-ranking, caching, and grounding strategies. - Experienced
• Rapid Prototyping (Python) - Build end-to-end POCs/MVPs; integrate LLMs, vector search, and third-party APIs. - Expert
• LLMOps/MLOps & Observability - Implement CI/CD, eval harnesses, prompt/version management, monitoring & rollback. - Experienced
• Cloud & IaC - Design on Azure/AWS/GCP with Docker/K8s and IaC (Terraform/Bicep) for scale and security. - Experienced
• Security & Responsible AI - Apply privacy, fairness/bias testing, model cards, lineage, auditability, and DLP/KMS controls. - Experienced
• Stakeholder Management - Engage senior stakeholders; align on scope, value, risks, and change impacts.- Expert
• Delivery & Risk Management - Lead multi-track programs, manage dependencies, costs, and governance to SLAs/OKRs. - Expert
• Data & Analytics Platforms - Leverage Databricks/Snowflake/Synapse; SQL/Spark; ADF/Airflow orchestration. - Experienced
• UI & Experience for AI - Shape user journeys; design simple React-based UIs and adoption playbooks. - Experienced
• Communication & Storytelling - Create crisp executive narratives, solution briefs, and demo-driven storytelling. - Experienced
• Practice Development - Build accelerators/playbooks; contribute to RFPs, solutioning, and thought leadership. - Expert
• Team Mentorship - Coach Assistant Managers/Seniors/Staff; elevate delivery quality and culture. - Experienced