Senior Data & AI Solutions Consultant; Presales + Delivery

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.

• 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 Po Cs 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.

• 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.