Job Title - Decision Science Practitioner Consultant
Management Level: Consultant (Level 9)
Location: Bengaluru (preferred) / Kolkata / Gurugram
Must have skills: Python, SQL, Generative AI/LLMs, Agentic AI, RAG, API integration, Cloud AI platforms, LangGraph or similar frameworks, MCP, multi-agent systems, A2A
Experience: 6+ years in AI/ML, data science, GenAI or related engineering
Educational Qualification: Bachelor's or Master's degree in Computer Science, AI, Data Science, Statistics, Applied Mathematics, Engineering or a related field
Job Summary:
We are seeking a technically strong AI Consultant to lead the design and delivery of Generative AI, Agentic AI, machine learning, and analytics solutions for Consumer Tech, Enterprise Tech, and Semiconductor clients.
The role combines hands-on technical leadership, solution architecture, team leadership, and client delivery management. Candidates should be able to translate business requirements into scalable AI solutions while guiding teams through implementation and deployment.
Key Responsibilities
Generative AI, Agentic AI and Knowledge Systems
- Architect and develop production-grade LLM applications, AI assistants, agentic workflows, and RAG solutions.
- Design agent architectures involving orchestration, memory, tool calling, enterprise integration, and human-in-the-loop controls.
- Optimize retrieval systems using embeddings, metadata, vector search, hybrid search, and enterprise knowledge repositories.
- Lead evaluation of AI applications for relevance, reliability, latency, safety, and business outcomes.
- Implement Responsible AI practices, security controls, guardrails, observability, and monitoring frameworks.
AI Engineering and Cloud Platforms
- Design and develop AI applications, APIs, and integrations with enterprise systems and business workflows.
- Lead technical implementation using Python, modern AI frameworks, and cloud-native services on Azure and/or AWS.
- Define deployment architectures, CI/CD approaches, security standards, monitoring, and operational readiness.
- Drive code reviews, technical standards, testing, debugging, and performance optimization
Data Science and Analytics
- Design and deploy machine learning, predictive analytics, recommendation, forecasting, and optimization solutions.
- Integrate traditional ML and statistical models into GenAI and agentic AI workflows where appropriate.
- Apply advanced analytics techniques to solve business challenges across sales, marketing, customer support, and supply chain domains.
Technical Leadership and Client Delivery
- Lead AI and analytics workstreams from solution design through deployment and stabilization.
- Translate business problems into scalable technical solutions and architecture decisions.
- Mentor junior practitioners and provide technical guidance across engineering and delivery teams.
- Manage client stakeholders, communicate technical recommendations, and support solution shaping activities.
- Contribute to proposals, estimations, technical workshops, demos, and reusable AI assets.
Technical Skills
Programming & Engineering: Python, SQL, APIs, software engineering best practices, CI/CD, Git.
Generative AI & Agents: LLM applications, RAG, agent workflows, prompt engineering, tool calling, evaluation frameworks.
AI Engineering: LangGraph, LangChain, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar frameworks.
Cloud Platforms: Azure and/or AWS AI, data, security, deployment, and monitoring services.
Machine Learning: scikit-learn, PyTorch, TensorFlow, predictive analytics, model evaluation, and deployment.
Solution Architecture: End-to-end AI solution design, enterprise integration, security, scalability, and performance optimization.
Preferred Skills
- MCP, Agent-to-Agent (A2A) communication, GraphRAG, agent memory, and multimodal AI.
- AI observability, evaluation, governance, and Responsible AI practices.
- Docker, Kubernetes, MLOps, and cloud-native deployment architectures.
- Experience in Consumer Tech, Enterprise Tech, Semiconductor, or other Hi-Tech industries.
- Strong consulting, stakeholder management, and technical leadership capabilities.
Additional Information:
The position is based in Bengaluru (preferred), Kolkata or Gurugram. Candidates should be able to demonstrate hands-on contributions to AI solutions and explain the business problem, their contribution and how the solution was tested.
About Our Company | Accenture
Required Qualifications
Experience: 6+ years of hands-on work in AI/ML, data science, Generative AI or related engineering.
Education: Bachelor's or Master's degree in a relevant quantitative or engineering discipline.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- Data science experience
- 8-10 years of professional experience
- Strong proficiency in Python programming
- Experience with NLP and computer vision techniques
- Experience developing AI models for analytics, predictive maintenance, optimization, or connected products
- Exposure to PLM, ERP, or CRM systems and their integration with AI solutions
- Strong analytical, problem-solving, and communication skills
- Experience with Azure or GCP cloud platforms
- Familiarity with AWS
- LLM, prompt engineering, or prompt tuning experience with tools such as ChatGPT, Llama 2, Claude 2, or Hugging Face
- Any degree
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
