AccentureI&P GN - Talent –T&W - Consultant - Enterprise Advisory
About this role
Job Title – Talent & Workforce – Enterprise AI Value Strategy - Consultant – Talent – I&P GN
Management Level: 09 - Consultant
Location: Gurgaon, Mumbai, Bangalore, Pune, Chennai, Hyderabad, Kolkata
Must have skills:
Agentic solution design & deployment, Multi-agent orchestration, RAG, OpenAI / Claude / Gemini / Open-source models, Tool/function calling, MCP, Structured outputs, Cloud deployment (auth, secrets, networking), NLP using LLMs, Evals & regression testing, Tracing & observability, Human-in-the-loop approval gates, workforce reinvention, AI impact assessment, Talent solution design and, AI governance.
Good to have skills:
Talent & Workforce Domain Expertise, Stakeholder Communication, Role adjacency mapping, Skills Taxonomies, Labor market intelligence, Skills gap analysis, Predictive modeling, Building Workflow in MS tools like Power Automate, Data engineering, Visualization and front-end skills
Job Summary:
As a Talent and Workforce Consultant within our Enterprise AI Value Strategy job family, you will bring together GenAI-enabled solutioning in alignment with people analytics, strategic data analysis and visualization to transform complex workforce and transformation data into meaningful insights, informed decisions, and actionable outcomes for clients.
Roles & Responsibilities:
• Design and deploy agentic solutions, multi-agent orchestration, RAG, context engineering and workflow automation tailored to talent and workforce use cases, translating complex challenges into production-ready AI architectures.
• Work across AI platforms (OpenAI, Claude, Gemini, open-source models) applying tool/function calling, MCP, structured outputs and orchestration frameworks to build scalable, enterprise-grade talent analytics applications.
• Deploy AI applications in restricted or regulated client environments, managing auth, secrets and networking across major cloud platforms.
• Own production readiness across the full lifecycle: evals and regression testing, tracing and observability, schema enforcement, retry and idempotency logic, human-in-the-loop approval gates, and cost and latency optimisation.
• Build reusable AI patterns and leverage NLP/LLMs to extract meaningful insight from unstructured workforce and HR data.
• Lead agentic workforce reinvention and disruption assessments, AI impact assessments, and talent solution design to reshape roles, processes and operating models.
• Translate technical agentic architecture into tangible business impact, presenting findings and recommendations to senior HR and talent stakeholders.
• Embed AI governance principles data privacy, model transparency, bias mitigation and human oversight into every solution design.
• Bridge AI engineering and HR/talent functions to ensure solutions are grounded in real workforce needs and deliver measurable, client-ready outcomes.