Solution Architect

We are looking for an experienced Solution Architect – Multi-Cloud & Gen AI Platform to join our Digital team. In this role, you will work closely with clients and engineering teams to translate complex business requirements into scalable, secure, and innovative technology solutions.

The ideal candidate will have strong architecture experience across AWS, Azure, and GCP, along with hands-on expertise in Generative AI, Agentic AI, cloud platforms, data engineering, integration, security, and LLMOps.

Key Responsibilities

• Translate business objectives into scalable Gen AI and Agentic AI architectures, including RAG and agent-based solutions.
• Own end-to-end solution architecture across applications, data, integration, security, infrastructure, and observability.
• Provide technical leadership during client engagements, solutioning, implementations, and new business opportunities.
• Lead hands-on proofs of concept (POCs) and innovative solutions, taking them from concept through MVP and production.
• Establish and implement LLMOps practices, including model evaluation, tracing, observability, guardrails, prompt management, versioning, and quality metrics.
• Design data architectures covering batch and streaming pipelines, vector search, APIs, events, and agent/tool contracts.
• Evaluate and recommend cloud, platform, and model options based on cost, performance, scalability, and business requirements.
• Design solutions with security and privacy by design, including Zero Trust, IAM/OIDC, secrets management, KMS, data minimization, and compliance controls.
• Define delivery plans and technical backlogs, coordinate multidisciplinary teams, and lead architecture and code reviews.
• Engage with stakeholders to understand requirements, develop technology roadmaps, provide estimates, and communicate risks, benefits, and ROI.
• Mentor and coach engineering teams and establish reusable architecture patterns, templates, frameworks, and reference implementations.
• Stay current with emerging technologies across Gen AI, Agentic AI, cloud, data, and enterprise architecture.

Required Qualifications & Experience

• Bachelor’s degree or equivalent qualification.
• 12+ years of experience in enterprise application, data platform, or solution architecture.
• At least 2 years of experience designing and delivering production-grade Gen AI solutions.
• Strong understanding and practical exposure to Data Science and Machine Learning.
• Minimum 3 years of hands-on experience in each of AWS, Azure, and GCP environments.
• At least 1 year of hands-on experience with Generative AI and Agentic AI technologies.
• Strong experience with cloud-native technologies, including containers/Kubernetes, serverless architectures, and Infrastructure as Code (Terraform/CloudFormation).
• Hands-on experience with at least one RAG/Agent framework or technology, such as:LangChain / LangGraphDSPyOpenAI / Anthropic tool useDatabricks AgentsEquivalent agentic AI platforms
• Practical experience with LLMOps, including:LLM evaluation and task-based metricsLLM-as-a-JudgeTracing and observability using tools such as MLflow/OpenTelemetryPrompt and model version managementAI CI/CD practices
• Strong data and lakehouse experience with technologies such as Delta Lake, Apache Iceberg, or Hudi.
• Experience with streaming technologies such as Kafka, Kinesis, or Pub/Sub.
• Experience with vector databases/search technologies such as Databricks Vector Search, pgvector, Pinecone, Milvus, Vespa, or equivalent.
• Strong API and integration architecture experience using REST, gRPC, GraphQL, and event-driven architectures.
• Strong understanding of API contracts, versioning, and integration patterns.
• Experience with security and governance frameworks, including OAuth2/OIDC, JWT, mTLS, secrets management, data classification, lineage, access policies, and AI safety/guardrails.
• Good understanding of web and mobile application architectures.
• Strong client-facing and stakeholder-management skills, with the ability to manage expectations and build trusted relationships.
• Ability to manage multiple client opportunities and initiatives simultaneously.
• Excellent communication and documentation skills, with the ability to explain complex technical concepts, costs, risks, benefits, and ROI to both technical and non-technical stakeholders.
• Strong problem-solving mindset with a passion for innovation, continuous learning, and achieving challenging goals.

Preferred / Required Certifications

Candidates should hold relevant industry-recognized certifications in one or more of the following areas:

• AWS Solution Architect / AI / Data Science certifications
• Microsoft Azure Solution Architect / AI / Data certifications
• Google Cloud Solution Architect / AI / Data certifications
• TOGAF 9 or equivalent Enterprise Architecture certification
• Other recognized industry-standard Cloud, AI, Data, or Solution Architecture certifications