Ultimate Peaks – Hiring for a Futuristic Client
We are seeking a Senior Data & AI Solutions Consultant to lead presales and delivery for advanced Data, AI, and Generative AI initiatives.
This hybrid role combines client engagement, solution architecture, and end‑to‑end project delivery across modern data platforms and AI ecosystems.
Key Responsibilities
- Engage with clients to understand business challenges and translate them into AI, GenAI, ML, and data platform use cases.
- Design and present end‑to‑end solution architectures, including data ingestion, processing, modeling, storage, and analytics layers.
- Prepare technical proposals, SOWs, effort estimates, pricing sheets, and presales documentation for RFPs.
- Lead and support RFP responses, demos, and PoCs across AI, Generative AI, and data analytics workloads.
- Oversee project delivery from discovery, architecture, and implementation to testing, deployment, and handover.
- Collaborate with data engineers, cloud architects, ML engineers, and cross‑functional teams to ensure scalable and secure solutions.
- Utilize cloud data and AI platforms (AWS, Azure, GCP) to build data lakes, data warehouses, ETL/ELT pipelines, and real‑time data flows.
- Develop and support Generative AI solutions using LLMs, RAG architectures, vector databases, embeddings, and prompt engineering.
- Ensure delivery quality, documentation completeness, and adherence to architecture best practices.
Qualifications
- 7–12 years of experience in Data & AI solutioning, architecture, and delivery, with strong presales exposure.
- 2–3 years hands‑on experience in AI, Machine Learning, LLMs, or Generative AI.
- Proficiency in Python, SQL, and modern ML/AI frameworks.
- Proven ability to design and deliver data platforms including data lakes, data warehouses, and ETL/ELT pipelines.
- Strong experience preparing technical proposals, estimates, and project plans.
- Strong communication and presentation skills with the ability to work across business and technical teams.
- Demonstrated experience delivering end‑to‑end AI and data projects, including feature engineering, model development, deployment, and API integration.
- Experience with cloud ecosystems (AWS, Azure, GCP) and modern data stack technologies.