AI Solution Architect

Hello Professionals,

Hope You're doing Great.

We have an excellent job opportunity for Remote Position. It is a long term contract opportunity with our client. if you are interested, please share your updated resume here.

Job Title: AI Solution Architect

Location: Remote

Type: 12+ Months Contract

Job Description:

Top Must-Haves:

• Must have strong Google Cloud
  • Both GenAI and Agentic AI
  • Need experience with Vertex AI and Gemini
• Very hands-on role and will be willing to take a strong senior engineer, with some design/architecture experience.
  • Don t need to be a full-blown Architect level and prefer someone who is still very hands-on.
  • Preferably someone who is ready to move up to architect level

• Constantly learning and solutioning. If a business problem cannot be solved in Google Cloud, what are other options outside?

AI Solution Architect (Google Cloud)

We are seeking a highly hands-on AI Solution Architect to join our AI Solutions team and help design, build, and evolve next-generation AI infrastructure on Google Cloud. This role is ideal for a senior engineer or emerging architect who thrives in fast-paced environments, enjoys continuous learning, and is ready to step up into a broader architectural scope without losing their hands-on edge.

You will drive the technical architecture for Google Cloud-based AI platforms powering AI Agents and applications across our institutions. This includes deep work with Vertex AI, Gemini models, agentic AI patterns, multimodal capabilities, and enterprise AI data foundations (BigQuery, AlloyDB, Cloud Storage).

Beyond Google Cloud, we value a problem solver who can think beyond platform boundaries: if a business requirement cannot be solved in Google Cloud Platform, you will explore what s possible with third-party SaaS platforms, marketplace solutions, or domain-specific AI tools always balancing scalability, cost, governance, and long-term strategy.

Requirements:

• Google Cloud expertise, including hands-on experience with:
• Vertex AI (pipelines, training, endpoints, feature store)
• Gemini models and multimodal/agentic capabilities
• GenAI and agentic AI frameworks
• Strong hands-on engineering background
• Ideal for someone ready to grow into architect responsibilities while still building and prototyping solutions
• Curiosity & continuous learning mindset
• Ability to evaluate whether a solution belongs in Google Cloud or if a better alternative exists externally
• Ability to work independently in a remote contract capacity

Thanks & Regards,

Lokesh Narapaka

Sr US IT Recruiter, Tek Leaders Inc

Email:

LinkedIn:

5151 Headquarters Dr, Suite 105, Plano, TX 75024