Solutions Architect

Job Description

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We’ve been recognized with:

• 21x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Preferred Location: Charlotte, NC

Experience Level: 10+ Years of Experience

Role purpose:

Design, develop and harden a Universal Gateway that connects conversational AI agents to enterprise applications. The Gateway will manage conversation state, enforce business rules, execute authorized backend operations and return the data and guidance needed by the conversational agent.

Key responsibilities:

• Design and implement Gateway APIs used by Google CXAS agents, including session initialization, journey resolution, state transitions and business-operation execution.
• Implement an external state engine covering current journey, active state, required information, pending actions, customer confirmation and completion status.
• Define versioned journey configurations, transition rules, policies and state-specific response guidance.
• Ensure the Gateway validates actions proposed by an agent against current state, identity, authorization and business rules.
• Develop adapters for customer backend systems using approved API contracts.
• Implement timeouts, retries, idempotency, concurrency controls and recovery from partial failures.
• Persist session state and audit records with appropriate isolation, retention and protection of customer data.
• Implement authentication, authorization, secrets management and service-to-service security.
• Provide correlated traces showing the incoming request, policy decision, state before and after, backend operation and response.
• Integrate automated tests and AgentCert evidence into the development workflow.
• Package and deploy services to the agreed Google Cloud environment, including Cloud Run where selected.
• Produce API documentation, architecture decisions, operational runbooks and handover material.

Required skills:

• Strong production backend development experience in Python, Java preferably FastAPI or an equivalent framework.
• REST APIs, OpenAPI specifications, JSON Schema and typed request/response validation.
• Practical experience implementing workflow engines, finite-state machines or business-process orchestration.
• Distributed systems concepts: Concurrency, retries, timeouts and transaction boundaries.
• Experience with persistent data stores and session management.
• Google Cloud delivery experience, including IAM, containerized services, logging, monitoring and secrets management.
• Enterprise API integration and automated unit, integration and contract testing.
• Understanding of LLM tool calling and the distinction between model-generated intent and authorized business execution.
• Git, code reviews and CI/CD.

Preferred skills:

• Telecom billing & background, customer service or service-restoration processes.
• Integration with Google CXAS or another conversational AI platform.
• Agent evaluation, failure injection, load testing and observability.
• Experience replacing synthetic adapters with enterprise backend integrations.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a leader of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud