Job Title - Decision Science Practitioner Senior Analyst
Management Level: Sr. Analyst (Level 10)
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: 4+ 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 hands-on Decision Science Practitioner Senior Analyst to design and deliver Generative AI, Agentic AI, machine learning, and analytics solutions for Consumer Tech, Enterprise Tech, and Semiconductor clients.
The Senior Analyst will work closely with client stakeholders and cross-functional teams to build AI-powered applications, agent workflows, retrieval systems, and analytics solutions. The role requires strong technical execution, problem-solving, and the ability to independently own workstreams while mentoring junior team members.
Key Responsibilities
Generative AI, Agentic AI and RAG
- Design and develop LLM-powered applications, assistants, and agent workflows using modern orchestration frameworks and enterprise integrations.
- Build and optimize RAG solutions using embeddings, metadata, vector search, and enterprise knowledge repositories.
- Develop agent workflows incorporating tool calling, memory, structured outputs, and multi-step reasoning patterns.
- Contribute to agent orchestration using LangGraph or similar frameworks.
- Evaluate AI applications using defined quality metrics such as relevance, latency, and reliability.
- Investigate application behavior using logs, traces, and monitoring tools to improve performance and user experience.
- Implement Responsible AI practices, security controls, guardrails, and human-in-the-loop review mechanisms.
Cloud Platform Expertise
- Develop and deploy AI solutions on Azure and/or AWS using managed AI, data, and application services.
- Support secure deployment, monitoring, model governance, credential management, and operational readiness.
- Collaborate with platform and engineering teams to ensure scalable and reliable AI application deployment.
AI Engineering and Deployment
- Build Python-based AI services and REST API integrations connecting enterprise systems, data sources, and AI applications.
- Apply software engineering best practices including Git, code reviews, modular development, testing, documentation, and CI/CD.
- Participate in solution design, technical estimation, troubleshooting, and performance optimization activities.
- Guide Analysts and Associates on implementation approaches, coding standards, and delivery practices.
- undefinedTechnical SkillsProgramming and APIs: Python, SQL, JSON, REST APIs, object-oriented programming, and software engineering best practices.GenAI and agents: Hands-on experience building LLM applications, agent workflows, RAG pipelines, prompt engineering, tool calling, and evaluation approaches.Retrieval and Knowledge Systems: Embeddings, vector search, enterprise document ingestion, metadata management, and familiarity with vector databases or enterprise search platforms.Cloud Platforms: Hands-on experience with Azure and/or AWS for AI, analytics, and application deployment.Preferred SkillsExperience with LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar frameworks.Exposure to MCP, Agent-to-Agent (A2A) communication, GraphRAG, agent memory, or multimodal AI applications.Experience with evaluation, observability, tracing, monitoring, and AI application quality measurement.Understanding of Docker, CI/CD pipelines, MLOps, or cloud-native deployment patterns.Experience delivering analytics, AI, or decision science solutions in marketing, sales, customer experience, supply chain, or operations domains.Strong communication, analytical problem-solving, and stakeholder management skills.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 QualificationsExperience: 4+ 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
- At least 4 years of experience in data engineering or data science
- Bachelor's or master's degree in Computer Science, Statistics, Applied Mathematics, or a related field
- Proficiency in Python and SQL
- Experience with NLP and computer vision libraries, such as Hugging Face and OpenCV
- Hands-on experience developing, fine-tuning, evaluating, optimizing, and deploying generative AI or LLM models
- Experience designing multi-step reasoning workflows and autonomous agents
- Experience with Azure and/or AWS for data science workflows
- Expertise with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Experience with LangChain, LlamaIndex, Hugging Face Transformers, and vector databases such as FAISS or Pinecone
- Experience with scalable data pipelines and feature stores for structured, unstructured, or multimodal data
- Experience with decision science projects in marketing, supply chain, or sales
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management capabilities
- Experience working with high-tech clients
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.
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