Overview
Skills
Job Details
About the Role:
We are seeking a strategic, technically proficient Data, Analytics, and AI Consultant with deep expertise in Generative AI, Agentic AI, and modern cloud-based data platforms. You will be responsible for engaging with clients to understand their business challenges, framing and validating business use cases, designing and engineering end-to-end solutions, and delivering measurable business impact through Data, Analytics, and AI initiatives.
This is a high-impact, client-facing role that blends strategic consulting with hands-on solutioning, architecture, and delivery.
Key Responsibilities:
Client Engagement & Business Understanding
- Collaborate with business stakeholders to understand their strategic goals, challenges, and opportunities.
- Identify and prioritize use cases where Data, Analytics, and AI can drive tangible business value.
- Translate complex business problems into structured, data-driven solutions.
Solution Design & Architecture
- Design end-to-end solution approaches involving Data Engineering, Advanced Analytics, and AI (including Generative and Agentic AI components).
- Define measurable success criteria, KPIs, and expected business outcomes.
- Architect scalable, secure, and cloud-native solutions using modern data and AI platforms (AWS, Azure, Google Cloud Platform, etc.).
- Integrate traditional analytics and machine learning approaches with emerging Generative and Agentic AI capabilities.
Engineering & Delivery
- Lead the engineering and development of AI/ML and analytics solutions, ensuring scalability, robustness, and security.
- Collaborate with data engineers, ML engineers, and software developers to implement production-grade solutions.
- Implement prompt engineering, fine-tuning, RAG pipelines, agents and orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, etc.) as needed.
Client Communication & Reporting
- Present solution approaches, technical architectures, and progress updates to clients in a clear and business-aligned manner.
- Provide periodic updates, demos, and post-delivery support as required.
Required Qualifications:
- 10%2B years of experience in data analytics and AI solutioning, including 2%2B years in Generative AI and Agentic AI.
- Proven experience in client-facing consulting roles, driving business discovery and technical delivery.
- Expertise in AI/ML, NLP, LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.), and orchestration tools.
- Hands-on experience with cloud platforms (AWS, Azure, Google Cloud Platform) and modern data stack tools (e.g., Snowflake, Databricks, Airflow, dbt).
- Proficiency in Python and relevant AI/ML libraries (e.g., Hugging Face, Lang Chain, Open AI SDKs).
- Strong knowledge of solution architecture, security, scalability, and integration patterns.
- Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications:
- Experience with agent frameworks (e.g., Crew AI, AutoGen, LangGraph, Lang Chain, Strands).
- Familiarity with MLOps practices and tools (e.g., Sage MakerMLflow, Vertex AI, Azure ML).
- Experience in regulated industries (finance, healthcare, etc.) is a plus.
- Certifications in cloud, data engineering, or AI/ML (e.g., AWS ML Specialty, Azure AI Engineer).