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AI Decision Science Consultant & Manager - Generative AI/LLM

Sigma Consultants
7 - 15 Years
Multiple Locations

Posted on: 17/09/2026

Job Description

About Company :

Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, the company works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

What's in it for you?

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. 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.

The company will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and the company will support you in growing your own tech stack and certifications.

What you would do in this role :

As a Data Science Consultant & Manager, you will play a critical role in driving the development and implementation of artificial intelligence (AI) solutions focused on Generative AI and LLM for our Software & Platform clients. Your responsibilities will involve overseeing the end-to-end process of designing, building, and deploying AI-powered systems that deliver business value and enhance operational efficiency.

Key Responsibilities :

- Collaborate with clients to understand their business objectives and identify AI opportunities.

- Develop AI strategies and roadmaps that align with client goals and company capabilities.

- Lead and manage cross-functional teams for multiple projects throughout the project lifecycle.

- Design and implement GenAI and LLM-driven architectures, including RAG pipelines and prompt engineering strategies.

- Build agentic AI solutions capable of multi-step reasoning, autonomous task execution, and tool orchestration.

- Leverage the Microsoft Azure AI ecosystem to develop secure, scalable enterprise-grade AI solutions.

- Mentor and guide a team of AI professionals, fostering a culture of innovation and excellence.

Job Qualifications :

- Bachelor's or Master's degree in computer science, engineering, data science, or a related quantitative field.

- Proven experience (7 to 15 years) in managing AI projects and delivering successful outcomes.

- Hands-on experience with Generative AI and LLM-based solution design, including RAG and prompt engineering.

- Strong understanding of agentic AI architectures, autonomous workflows, and multi-step reasoning systems.

- Proficiency with the Microsoft Azure AI ecosystem and integrating AI solutions with Microsoft 365 Copilot.

- Proficiency in programming languages such as Python, R, or Java.

- Strong project management abilities, including planning, resource management, and risk assessment.

- Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders.

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