Solutions Architect (Contract)

Job Description: GenAI Solution Architect (Contract)Role Overview

We are seeking an experienced Solution Architect (3 to 6 months contracts) with a strong background in AI, Generative AI, and Machine Learning to design, integrate, and deliver scalable AI-driven solutions. The role requires close collaboration with backend engineering teams, ownership of end-to-end features, and active engagement with clients and stakeholders.

Key Responsibilities

• Architect, design, and deliver AI / GenAI solutions aligned with business and technical requirements.
• Collaborate closely with backend engineering teams to integrate AI capabilities into existing systems and platforms.
• Translate business requirements into technical architectures, APIs, and workflows.
• Design and implement API-based integrations using FastAPI and related frameworks.
• Own features end-to-end — from requirement gathering, solution design, development support, testing, and production rollout.
• Ensure solutions follow best practices in scalability, security, performance, and reliability.
• Act as a technical point of contact for clients and internal stakeholders.
• Communicate architecture decisions, trade-offs, and implementation details clearly to both technical and non-technical audiences.
• Support solution documentation, knowledge transfer, and technical reviews.

Required Experience & Skills

• 5–8 years of experience in AI, Generative AI, and Machine Learning solutions.
• Strong understanding of backend systems, architectures, and microservices.
• Hands-on experience with FastAPI and REST / API-based integrations.
• Proven experience working alongside backend engineering teams on production systems.
• Strong problem-solving and system design skills.
• Excellent verbal and written communication skills.
• Comfortable engaging with clients, business stakeholders, and leadership teams.
• Experience owning and delivering features from requirement gathering through deployment.

Good to Have

• Experience with LLM-based architectures (RAG, Agents, orchestration frameworks).
• Exposure to cloud platforms (GCP, AWS, or Azure).
• Understanding of MLOps / LLMOps practices.
• Experience in enterprise or large-scale system environments.

What We Offer

• Opportunity to work on cutting-edge AI & GenAI solutions.
• High ownership role with visibility across business and technology.
• Collaborative environment with strong engineering and product teams.
• Exposure to client-facing, enterprise-scale AI transformations.

Mail me to [HIDDEN TEXT]

Skills Required
Machine Learning, Microservices, FastAPI