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.
Requirements
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.