About the Role
We are looking for a high-impact Onsite Data & AI Solution Architect to join our growing Data & AI practice. This is a client-facing, US-based role that sits at the intersection of business development, solution design, and technical delivery — serving as the bridge between our onsite go-to-market teams and our offshore engineering talent in India.
You will work shoulder-to-shoulder with our business development team to run client discovery workshops, architect Data & Agentic AI solutions, and convert complex client challenges into compelling, commercially viable proposals — backed by the technical depth to earn the trust of a CTO and the communication clarity to earn the trust of a CFO.
Roles and Responsibilities
- Partner with the onsite business development team to identify, qualify, and pursue Data & AI opportunities across enterprise accounts.
- Lead and facilitate client workshops — from initial discovery and current-state assessment to future-state visioning and solution alignment.
- Serve as the technical authority during client conversations, translating business pain points into clear data and AI solution narratives.
- Drive solutioning sessions that map client needs to specific architectures, platforms, and engagement models — generating confidence and accelerating deal closure.
- Build and maintain trusted relationships with client technology and business leaders throughout the sales and delivery lifecycle.
- Design cloud-native data architectures (data lakehouse, data mesh, streaming, batch) tailored to client industry and maturity.
- Architect Agentic AI solutions leveraging frameworks such as AWS AgentCore, Amazon Bedrock Agents, multi-agent orchestration, and related managed services.
- Develop solution blueprints, reference architectures, and Statements of Work (SoWs) that are technically sound and commercially differentiated.
- Collaborate with cloud hyperscaler partner teams (AWS primary; Azure and GCP as needed) on joint GTM pursuits, co-sell opportunities, and marketplace listings.
- Ensure solution designs account for data governance, security, compliance, and scalability requirements from the outset.
Required Qualifications
- 12+ years of total experience with 6+ in Data, Cloud, or AI-focused roles.
- Demonstrated experience in a client-facing pre-sales, solutions consulting, or solution architecture role.
- Strong command of modern data platforms: Apache Spark, dbt, Snowflake, Databricks, Amazon Redshift, Delta Lake, Apache Kafka/Flink, or comparable technologies.
- Practical knowledge of cloud-native data and AI services — especially within the AWS ecosystem (Bedrock, SageMaker, Glue, Lake Formation, Step Functions, AgentCore).
- Foundational to intermediate familiarity with Agentic AI constructs: agent frameworks, LLM orchestration, RAG, tool use, and human-in-the-loop patterns.
- Ability to create credible, production-grade solution architectures and communicate them clearly to both technical and business audiences.
- Experience working in a global delivery model — collaborating with offshore development teams across time zones.
- Strong storytelling and presentation skills; comfortable in C-suite conversations as well as technical deep-dives.