A

Accenture

Advises businesses and runs their technology

Talent & Workforce Consultant - Enterprise Advisory

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 3 years of post-Master's experience; the stated experience range is 3–6 years.
  • A full-time Master's degree or MBA.
  • Experience or capability in agentic solution design and deployment, multi-agent orchestration, retrieval-augmented generation, OpenAI, Claude, Gemini or open-source models, tool/function calling, MCP, structured outputs, cloud deployment including authentication, secrets and networking, natural language processing using large language models, evaluations and regression testing, tracing and observability, human-in-the-loop approval gates, workforce reinvention, AI impact assessment, talent solution design, and AI governance.

Responsibilities

  • Design and deploy agentic solutions, multi-agent orchestration, retrieval-augmented generation, context engineering and workflow automation for talent and workforce use cases, translating complex challenges into production-ready AI architectures.
  • Work across AI platforms including OpenAI, Claude, Gemini and 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 authentication, secrets and networking across major cloud platforms.
  • Own production readiness across the full lifecycle, including evaluations and regression testing, tracing and observability, schema enforcement, retry and idempotency logic, human-in-the-loop approval gates, and cost and latency optimization.
  • Build reusable AI patterns and use natural language processing and large language models to extract insights from unstructured workforce and human-resources 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 business impact by presenting findings and recommendations to senior human-resources and talent stakeholders.
  • Embed AI governance principles, including data privacy, model transparency, bias mitigation and human oversight, into solution design.
  • Bridge AI engineering and human-resources/talent functions so solutions address workforce needs and deliver measurable, client-ready outcomes.

Desired Qualifications

  • Talent and workforce domain expertise.
  • Stakeholder communication.
  • Role adjacency mapping.
  • Skills taxonomies.
  • Labor market intelligence.
  • Skills gap analysis.
  • Predictive modeling.
  • Building workflows in Microsoft tools such as Power Automate.
  • Data engineering.
  • Visualization and front-end skills.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs