Solution Architect (Candidates from West Coast only)
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Job description
We are looking for a Solution Architect with 4-10 years of experience to be the anchor for our customers in North America. We need someone with deep industry expertise, particularly in financial services or life sciences, who can understand complex architectural patterns and build immediate trust.
As the face of the company’s technical depth, you will be critical in empathizing with customer challenges and architecting cutting-edge agentic AI solutions to solve them.
What you’ll be doing
- Engage with enterprise customers on the West Coast to understand their industry processes and business challenges.
- Design and deliver the right architecture for agentic AI capabilities, partnering closely with our delivery team in India.
- Act as the trusted technical advisor, helping customers align on the proposed architecture and driving it toward deployment.
- Translate complex business objectives into secure, scalable target architectures for cloud, data, and AI.
- Serve as the face of the company’s technical expertise, building deep relationships and ensuring customer success.
Requirements
4-10 years of experience in solution architecture or a similar field.
- Deep industry expertise in financial services or life sciences.
- Strong ability to understand complex architectural patterns and translate business objectives into secure, scalable technical solutions.
- Experience building trust with enterprise customers and acting as a technical advisor.
- Familiarity with cloud, data, AI, and modern infrastructure technologies.
- Ability to collaborate effectively with distributed delivery teams.
Tech stack
AWS, Azure, GCP, VMware, Kubernetes, OpenShift, Terraform, Ansible, Bedrock, SageMaker, LangChain, MLflow, DevSecOps, Zero Trust, Grafana, Prometheus
Location and work setup
About the company
At its core, the company is an AI-first services and product studio focused on taking AI from slide decks into production.
The company helps startups, tech-led companies, and large enterprises operationalize AI across core business workflows - covering strategy, custom solution development, and fully managed AI/ML Ops so systems stay reliable at scale. Work ranges from agentic AI systems and LLM-powered applications to large-scale cloud modernization and data platforms on AWS and modern Kubernetes-based stacks.
Founded in 2024, the company has a team of 140 employees across India, North America, and the Middle East.
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