PAS IMT Service Activation Tech Consultant AI Experience Manager

Description

We are seeking a Manager Technology Consulting (AI/GenAI & Agentic AI) with 1015 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 clientsshaping 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. Youll 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 challengesglobalization 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

Youll 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 principlesprivacy 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 deliveryrequirements 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

• Bachelors degree in a Science Technology Engineering or Mathematics (STEM) field (Computer Science Engineering Mathematics etc.)
• 10-15 years total experience including 46 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 youll also have

• Advanced degree ( 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 AIs 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 EYs available principles practices and tools for your clients 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