Hiring Organization : Agivant Technologies

Salary : $ 120 – 170 K/Year USD

Experience : 4 years

AI and Data Solution Architect job in USA :

Location : San Francisco Bay Area, CA, USA

Key Responsibilities:

• Trusted Advisor: Build long-term relationships with CTOs, CDOs, and Lead Data Scientists, guiding them through the complexities of AI governance, ethics, and scalability.
• Consulting Driven Delivery: To play the role of trusted advisor to the client by providing consulting for the right solution approach, coordinating with the offshore team to ensure seamless execution. Proactively identifying & managing risk, project roadblocks, resolving escalations, eliminate revenue leakages.
• 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: Ability to design production grade solution architecture involving data AI & Cloud.
• Cross-Functional Leadership: Act as the “voice of the customer” for Product and Engineering teams to influence the product roadmap based on market feedback.

Technical Requirements:

• Computer Science Graduate/Post Graduate with minimum 6 years of experience in solution consulting, client facing delivery, or project management roles.
• US Onsite Experience: Proven experience working with US Client at their location.
• Technology Domain Expertise: Strong understanding of AI Driven Solutions, Digital Transformation, advanced data analytics, advanced cloud infrastructure.
• AI Expertise: Agentic AI frameworks, GenAI, AI/ML & Data Science, Multi-modal LLM’s , Graph Data Science, Big Data, advance Data Engineering, cloud solutions for AI (Azure & GCP AI Stack), MLOps.

Soft Skills & Competencies:

• Trusted Advisor Mentality: High degree of humility, empathy, and integrity in client interactions.
• Strategic Thinking: Ability to see the big picture while managing granular, day-to-day delivery tasks.
• Influence Without Authority: Ability to manage cross-functional teams, including those in offshore locations.
• Exceptional Communication: Ability to articulate technical jargon into business value for C-suite stakeholders.
• Adaptability: Ability to navigate fast-paced, high-pressure environments.

Travel Flexibility: Flexibility of travelling to/working out of client sites in Bay Area.

Position

Lead AI Architect

Machine Learning Platform Architect

Principal Solution Architect

Must have skills

Architecture

Data analytics – 4 years

Screening Questions

Q1.Are you comfortable working from Office Location : San Francisco Bay Area, CA, USA?

Ideal answer: yes

Q2.Which city are you currently located in?

Ideal answer: San Francisco Bay Area, CA, USA

Q3.What is your Expected Annual Salary?

Ideal answer: $ 170000 (Max) USD /Years

Q4.Which GenAI, multimodal LLMs, or Azure/GCP AI stacks have you implemented in production ?

Ideal answer: Implemented GPT-4, PaLM, and multimodal LLMs; deployed Azure Cognitive Services, Vertex AI pipelines, and MLOps for production with monitoring alerts.

Q5.How many years of work experience do you have leading technical delivery and coordinating offshore teams on AI projects ? (Must-have)

Ideal answer: 3 (Min) – 7 (Max)

Q6.What is your current work authorization or visa type for employment? (Must-have)

Ideal answer: U.S. Citizen, Green Card, EAD, F-1, TN

Q7.How many years of work experience do you have in solution consulting or project management roles ? (Must-have)

Ideal answer: 4 (Min) – 8 (Max)

Q8.How many years of work experience do you have with Data analytics? (Must-have)

Ideal answer: 4 Years (Min)

Q9.How many years of work experience do you have with Agentic GenAI frameworks ? (Must-have)

Ideal answer: 3 (Min) – 8 (Max)