Job
Description
About The Role
Entity:- Accenture Strategy & Consulting
Team:- Global Network – Data & AI
Practice:- Song Data & AI
Title:- Ind & Func AI Decision Science Manager – Level 7
Job location:- Gurgaon / Bangalore / Mumbai / Hyderabad
About S&C Global Network - Data & AI:-
Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. We enable our clients to achieve high performance through insights from data - insights that inform better decisions and help grow their business in entirely new ways through the power of Artificial Intelligence. From strategy to execution, Accenture works with organizations to develop advanced analytic capabilities. This includes everything from accessing and reporting on data to building and deploying predictive models and implementing Generative AI solutions.WHAT'S IN IT FOR YOU?
As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues who are pioneers in leveraging cutting-edge AI technologies, including Generative AI. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.Accenture is committed to nurturing your growth and development. You'll have access to training and mentorship from seasoned professionals, empowering you to expand your skill set and stay at the forefront of industry trends.In S&C GN - Data & AI you will understand the importance of sound analytical decision-making, how each task contributes to the overall project objectives, execute projects that contribute directly to business performance improvement and utilize Generative AI to unlock new possibilities.
What would you do in this role
As an AI Manager, you will lead the design, implementation, and adoption of Agentic AI and Generative AI solutions, combining deep technical expertise with consulting leadership to deliver business transformation.
Define and drive enterprise-level data, context, and orchestration strategies for building scalable Agentic AI systems.
Oversee advanced data integration, governance, and quality initiatives, ensuring reliability of inputs for autonomous workflows.
Architect and lead the development of multi-agent solutions, orchestrating specialized agents to solve complex business challenges.
Design and oversee end-to-end agent workflows and orchestration pipelines, embedding best practices for scalability, monitoring, and resilience.
Guide deployment and optimization of AI systems using
cloud platforms (AWS, Azure, GCP) to ensure enterprise readiness and lifecycle management.
Evaluate and improve system performance across trust, accuracy, automation, and decision-making, ensuring alignment with client goals.
Engage with executives and cross-functional stakeholders, positioning Agentic AI as a driver of innovation, efficiency, and measurable business outcomes.
Create executive-level presentations, demos, and roadmaps, clearly communicating opportunities, risks, and adoption strategies.
Leverage technical platforms including
FastAPI (modular APIs), GCP Vertex AI (deployment & orchestration), and Databricks (large-scale workflows) for end-to-end solutioning.
Mentor and develop consultants and analysts, fostering hands-on expertise in Agentic AI frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph).
Shape internal accelerators, methodologies, and playbooks to scale Agentic AI adoption across consulting engagements.
Stay ahead of industry trends in Generative & Agentic AI, ensuring solutions reflect cutting-edge practices and enterprise adoption patterns.
Qualification
Who we are looking for
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Marketing, or related field with an excellent academic record.
8+ years of progressive experience in Data Science/ AI, with significant consulting or enterprise experience. Strong expertise in
Python and SQL, with proven experience in Generative AI and applied
Agentic AI orchestration. Hands-on proficiency with
Agentic AI frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph). Practical experience with
FastAPI,
GCP Vertex AI, and
Databricks for scalable deployment, modularization, and large-scale modeling workflows. Demonstrated success in
leading AI projects from design to enterprise deployment, including orchestration-based or multi-agent solutions. Solid experience with
cloud platforms (AWS, Azure, GCP) for AI architecture, orchestration, and monitoring. Exceptional communication, executive engagement, and
stakeholder management skills; ability to translate advanced AI into
business strategy and ROI. Proven track record in
managing consulting projects, including solution architecture, resource planning, delivery governance, and risk management. Strong leadership and mentoring skills, fostering a culture of innovation, learning, and experimentation. A deep passion for
staying at the forefront of Agentic AI innovation and applying emerging practices to enterprise-scale problems.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
