Role Overview:

Hiring a Generative AI Solutions Architect to design and deliver enterprise-grade AI solutions powered by large language models and foundation models for one of our US Based client.

As the Solutions Architect, you'll partner with customers and internal teams to translate complex business challenges into scalable, production-ready GenAI architectures bridging the gap between cutting-edge AI capabilities and real-world impact.

Responsibilities:

- Serve as a trusted technical advisor to enterprise clients, guiding their Generative AI adoption journey from discovery through production deployment.

- Architect end-to-end GenAI solutions including RAG pipelines, LLM fine-tuning workflows, agentic systems, and multi-modal applications.

- Lead pre-sales technical engagements, proof-of-concepts, and solution design workshops with C-suite and technical stakeholders.

- Define reference architectures, best practices, and reusable patterns for deploying GenAI at scale on cloud platforms (AWS, GCP, Azure).

- Collaborate with product, engineering, and research teams to provide field-driven feedback that shapes the product roadmap.

Technical Scope:

- Design scalable architectures leveraging foundation models (GPT-4, Claude, Gemini, Llama, Mistral) for diverse enterprise use cases.

- Build and demonstrate RAG systems, vector databases, embedding pipelines, and agentic orchestration frameworks (LangChain, LlamaIndex, AutoGen).

- Evaluate, benchmark, and recommend appropriate models, infrastructure, and tooling for specific business requirements.

- Develop technical documentation, whitepapers, and solution blueprints that accelerate customer time-to-value.

- Mentor and upskill customer engineering teams through technical workshops and hands-on enablement sessions.

- Own the technical success of strategic accounts from initial architecture reviews through go-live and optimisation.

- Stay current with the rapidly evolving GenAI landscape and proactively share insights across internal and external audiences.