Senior Artificial Intelligence Solutions Consultant

Overview

Support the implementation of generative AI capabilities for data, analytics, and decision sciences, combining hands-on technical work with project-level consulting to help decision science teams refine use cases and develop and test prototypes.

What you'll do

• Contribute as an individual consultant to moderately complex Gen AI initiatives for data, analytics, modeling, and decision science teams.
• Collaborate with decision science practitioners and business partners to refine Gen AI and automation use cases based on defined business needs, technical feasibility, data readiness, risk, and adoption considerations.
• Develop and test Gen AI prototypes that improve analytical workflows, including data discovery and preparation, code generation and review, exploratory analysis, model development support, documentation, monitoring, knowledge retrieval, and repeatable reporting.
• Apply prompt engineering, retrieval-augmented generation, agentic workflow, semantic retrieval, evaluation, and human-in-the-loop techniques using approved tools and established patterns.
• Translate defined business and analytical requirements into technical tasks, prototype approaches, test plans, success measures, and implementation activities with guidance from more experienced team members.
• Build and maintain reusable prompts, evaluation scripts, automation components, and technical documentation for use within assigned projects or workstreams.
• Participate in technical working sessions, demonstrations, peer reviews, and knowledge-sharing activities with data scientists, analysts, model developers, product partners, and control partners.
• Perform structured testing and evaluation of solution outputs for accuracy, relevance, robustness, traceability, security, responsible AI considerations, and readiness for the intended use.
• Work with immediate business, data, technology, model risk, compliance, and control partners to apply established standards and complete required review and governance activities.
• Analyze technical issues, document options and tradeoffs, escalate decisions outside assigned authority, and communicate progress and recommendations clearly to project leads and business partners.

What you'll need

• 3+ years of Artificial Intelligence Solutions, data science, advanced analytics, or related consulting experience, or equivalent demonstrated through work experience, training, military experience, or education.
• Experience delivering assigned components of moderately complex projects, working within defined objectives, and coordinating effectively with cross-functional team members.
• Hands-on experience applying Generative AI or large language models to data, analytics, modeling, or decision science workflows.
• Proficiency in Python and SQL, including data processing, API integration, testing, debugging, and workflow automation.
• Experience with at least one of the following: prompt engineering, retrieval-augmented generation, agentic workflows, semantic retrieval, structured outputs, or LLM evaluation methods.
• Experience working with analytical data platforms and frameworks such as Pandas, Spark, Databricks, cloud-based AI/ML services, or equivalent technologies.
• Experience translating defined business and analytical problems into technical requirements, prototypes, test results, and implementation recommendations.
• Strong communication and collaboration skills, including requirements clarification, technical documentation, working-session participation, and the ability to explain technical concepts to immediate team members and business partners.
• Foundational understanding of responsible AI, model and data governance, information security, privacy, quality, testing, and human oversight considerations relevant to enterprise AI solutions.

Nice to have

• Experience supporting data science, quantitative analytics, model development, marketing analytics, or decision intelligence teams.
• Experience automating components of analytics or model-lifecycle activities such as data preparation, code migration, model documentation, validation support, monitoring, forecasting, campaign analytics, or insight generation.
• Hands-on experience with enterprise AI assistants and development environments such as Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, approved low-code/no-code AI platforms, or comparable tools.
• Familiarity with orchestration frameworks such as LangChain or LangGraph and with enterprise LLM, RAG, or agentic solution patterns.
• Familiarity with vector databases, semantic retrieval, metadata management, knowledge graphs, or semantic layers that improve LLM grounding in enterprise data and analytical context.
• Experience using or supporting REST APIs, lightweight services, reusable Python modules, and cloud-native components for analytics automation.
• Familiarity with AI/LLM Ops practices, including versioning, evaluation, observability, testing, deployment controls, and performance monitoring.
• Experience with one or more additional capabilities such as knowledge graphs, semantic or metadata layers, advanced RAG or agentic implementation, cloud AI/ML integration, or production deployment practices.
• Ability to contribute to reusable standards, playbooks, technical documentation, training materials, and team knowledge-sharing activities.

Details

• Location: Hyderabad, India.
• Posting end date: 8 Nov 2026.