Principal Solution Consultant (Bay Area - United States)
Agivant, San Francisco, California, United States, 94199
Agivant Technologies India Private Limited | Full time
Principal Solution Consultant (Bay Area - United States)
Bay Area, United States | Posted on 02/04/2026 Work Experience 10-15 years (Solution Architect / Technical Delivery Manager) City Bay Area State/Province California Country United States About Us
Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client’s success.
Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our clients achieve their trajectory of growth.
Agility is a core muscle, an integral part of the fabric of a modern enterprise. To succeed in an ever-changing business environment, every modern organization needs to adapt and renew itself quickly. We help foster a more agile approach to business to reconfigure strategy, structure, and processes to achieve more growth and drive greater efficiencies.
Relevance is timeless and is the only way to survive and thrive.
The quest for relevance defines the exponential acceleration of humanity. This has presented us with a slew of opportunities, but also many unprecedented challenges. With technology-led innovation, we help our customers harness these opportunities and address myriad challenges.
Job Description
Role Overview As a Principal Solution Consultant, you will be the primary technical strategist for our most complex, high-stakes enterprise engagements. You will bridge the gap between sophisticated Data Engineering architectures and cutting-edge AI/ML applications to solve real-world business challenges. This is a high-impact role requiring a blend of deep technical "hands-on-keyboard" expertise and executive-level storytelling.
Key Responsibilities Technical Discovery & Strategy:
Lead deep-dive discovery sessions to uncover client pain points. Translate messy data landscapes into elegant, scalable AI/ML roadmaps.
Architectural Design:
Design end-to-end data architectures—from ingestion and transformation (ETL/ELT) to model deployment (MLOps) and visualization.
Cross-Functional Leadership:
Act as the "voice of the customer" for Product and Engineering teams to influence the product roadmap based on market feedback.
Trusted Advisor:
Build long-term relationships with CTOs, CDOs, and Lead Data Scientists, guiding them through the complexities of AI governance, ethics, and scalability.
Requirements
Technical Requirements Data Engineering (Mastery):
8+ years of experience with distributed systems (Spark, Flink), modern data stacks (Snowflake, Databricks), and orchestration tools (Airflow, dbt).
AI/ML Expertise:
Proven experience deploying ML models into production. Deep understanding of the ML lifecycle (MLOps), vector databases (Pinecone, Milvus), and fine-tuning Large Language Models (LLMs).
Cloud Infrastructure:
Expert-level proficiency in at least one major cloud provider (AWS, Azure, or GCP), specifically around data and AI services (e.g., SageMaker, Vertex AI).
Architecture:
Experience designing microservices-based architectures and API integrations.
Travel Flexibility:
Flexbilit of travelling to client sites. You thrive in face-to-face environments where high-touch technical strategy and relationship building are key to executing complex deals.
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Bay Area, United States | Posted on 02/04/2026 Work Experience 10-15 years (Solution Architect / Technical Delivery Manager) City Bay Area State/Province California Country United States About Us
Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client’s success.
Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our clients achieve their trajectory of growth.
Agility is a core muscle, an integral part of the fabric of a modern enterprise. To succeed in an ever-changing business environment, every modern organization needs to adapt and renew itself quickly. We help foster a more agile approach to business to reconfigure strategy, structure, and processes to achieve more growth and drive greater efficiencies.
Relevance is timeless and is the only way to survive and thrive.
The quest for relevance defines the exponential acceleration of humanity. This has presented us with a slew of opportunities, but also many unprecedented challenges. With technology-led innovation, we help our customers harness these opportunities and address myriad challenges.
Job Description
Role Overview As a Principal Solution Consultant, you will be the primary technical strategist for our most complex, high-stakes enterprise engagements. You will bridge the gap between sophisticated Data Engineering architectures and cutting-edge AI/ML applications to solve real-world business challenges. This is a high-impact role requiring a blend of deep technical "hands-on-keyboard" expertise and executive-level storytelling.
Key Responsibilities Technical Discovery & Strategy:
Lead deep-dive discovery sessions to uncover client pain points. Translate messy data landscapes into elegant, scalable AI/ML roadmaps.
Architectural Design:
Design end-to-end data architectures—from ingestion and transformation (ETL/ELT) to model deployment (MLOps) and visualization.
Cross-Functional Leadership:
Act as the "voice of the customer" for Product and Engineering teams to influence the product roadmap based on market feedback.
Trusted Advisor:
Build long-term relationships with CTOs, CDOs, and Lead Data Scientists, guiding them through the complexities of AI governance, ethics, and scalability.
Requirements
Technical Requirements Data Engineering (Mastery):
8+ years of experience with distributed systems (Spark, Flink), modern data stacks (Snowflake, Databricks), and orchestration tools (Airflow, dbt).
AI/ML Expertise:
Proven experience deploying ML models into production. Deep understanding of the ML lifecycle (MLOps), vector databases (Pinecone, Milvus), and fine-tuning Large Language Models (LLMs).
Cloud Infrastructure:
Expert-level proficiency in at least one major cloud provider (AWS, Azure, or GCP), specifically around data and AI services (e.g., SageMaker, Vertex AI).
Architecture:
Experience designing microservices-based architectures and API integrations.
Travel Flexibility:
Flexbilit of travelling to client sites. You thrive in face-to-face environments where high-touch technical strategy and relationship building are key to executing complex deals.
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