As a Solution Architect in the digital team, you will help clients to manage the demands of fast-moving business environments. We expect you to have a strong interest in technology and ability to drive innovation with creative solutions. You should have a broad expertise and proven experience in various areas such as web, mobile, Cloud, emerging technologies and services.
Key Responsibilities::
- Translate business goals into Gen AI / Agentic AI enabled architectures (RAG, agents, etc).
- Own end-to-end solution design across application, data, integration, security, and observability.
- Participate in new client facing opportunities, provide technical leadership and lead the team in implementations.
- Lead hands-on new solutions and POCs that de-risk decisions and graduate to MVPs; guide engineering through build and run.
- Establish LLMOps: evaluation, tracing/observability, guardrails/safety, and prompt/version management with clear SLOs and quality metrics.
- Architect data flows (batch/stream) and vector search; define APIs/events and tool/agent contracts.
- Make platform/model choices (managed vs OSS, serving strategies) with cost/performance trade-offs.
- Embed security & privacy by design: Zero-Trust, IAM/OIDC, secrets/KMS, data minimization, compliance controls.
- Plan delivery and backlogs; coordinate multi-disciplinary squads; run design/code reviews and technical governance.
- Engage stakeholders with discovery, roadmaps, estimates; communicate risks, benefits, and ROI in plain language.
- Coach teams; codify reusable patterns, templates, and reference implementations.
Qualifications::
Basic Qualifications
- Minimum of bachelor's degree or equivalent.
- 12+ years of enterprise application or data platform architecture experience, including 2 years of designing production grade Gen AI systems.
- Strong exposure to data science and machine learning.
- Proven architecture leadership across cloud (AWS/Azure/GCP), containers/Kubernetes or serverless, and IaC (Terraform/CloudFormation).
- Mandatory hands-on multiple cloud experience of at 3 years in each of the AWS, GCP & Azure environments, with at least one year hands-on experience with Gen AI, Agentic AI technologies.
- Hands-on with at least one agent/RAG stack: LangChain/LangGraph, DSPy, OpenAI/Anthropic tool use, Databricks Agents or equivalent.
- Practical LLMOps: evaluation (LLM judges, task metrics), tracing/observability (MLflow/OpenTelemetry), prompt/version registries, CI/CD for AI.
- Lakehouse / Data expertise: Delta/Iceberg/Hudi; streaming (Kafka/Kinesis/Pub/Sub); vector search (Databricks Vector Search, pgvector, Pinecone, Milvus, Vespa, etc.).
- API & integration design: REST/gRPC/GraphQL, event-driven patterns, contract/version management.
- Security & governance: OAuth2/OIDC, JWT/mTLS, secrets management, data classification/lineage, access policies, content safety/guardrails.
- Strong communicator: can frame cost/benefit, risk, and ROI; writes clear design docs; influences across org boundaries.
- Good understanding of mobile and web applications.
- Able to manage multiple opportunities at the same time.
- Experiences in managing client relationship and expectation.
- Fast learner, achiever, sets high personal goals.
Required Certifications::
- AWS/Azure/Google AI Certifications
- AWS/Azure/Google Data Science Certifications
- AWS/Azure/Google Solution Architect Certifications
- The Open Group TOGAF 9 Certification
- Any other equivalent industry standard architect certification
