Senior Solution Owner (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Solution Owner (AI): Leading product strategy and execution for client engagements involving GenAI, Agentic AI systems, and complex data migration initiatives with an accent on translating ambiguous business challenges into actionable roadmaps. Focus on bridging the gap between technical AI architecture and business value while collaborating with cross-functional engineering and data teams.
Location: Must be based in New York, Connecticut, or Maryland
Company
is a leading AI and data management consulting company that empowers enterprises to build and scale cutting-edge solutions leveraging Generative AI and modern data platforms.
What you will do
- Define product vision and roadmaps for client solutions leveraging GenAI, LLMs, RAG architectures, and Agentic AI frameworks.
- Lead end-to-end product lifecycle for AI/ML products, ensuring alignment with client business objectives and KPIs.
- Oversee product strategy for large-scale data migration projects across AWS, Azure, and GCP.
- Guide data product development including ingestion pipelines, transformation layers, and governance frameworks.
- Facilitate Agile ceremonies and maintain well-groomed backlogs with technically detailed features and epics.
- Partner with client stakeholders, data architects, and ML engineers to deliver integrated, high-impact solutions.
Requirements
- 5 to 7+ years of experience in product management with a track record of scaling technical products.
- 3 to 5+ years of experience with AI/ML products, Generative AI, or data platform development.
- 3 to 5+ years working in Agile/Scrum environments.
- Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stacks like Snowflake, Databricks, or BigQuery.
- Strong knowledge of GenAI technologies including prompt engineering, fine-tuning, RAG, and vector databases.
- Experience with Agentic AI frameworks such as LangChain, AutoGPT, or CrewAI.
Nice to have
- Experience in consulting or client-facing product roles.
- Previous software development or technical background.
- Domain expertise in financial services, healthcare, retail, or manufacturing.
- Relevant certifications such as CSPO, SAFe, or Cloud Practitioner.
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