AI Solutions Architect

Solutions Architect (Artificial Intelligence)

We are seeking an experienced AI Solutions Architect to lead the design and implementation of enterprise AI solutions while supporting client engagements and pre‑sales initiatives.

This role is responsible for working closely with clients, sales teams, and engineering teams to identify AI opportunities, define solution architectures, develop proof‑of‑concepts, and guide the delivery of AI‑driven solutions.

The ideal candidate combines deep expertise in AI/ML technologies with strong consulting and communication skills
, enabling them to translate business challenges into scalable and practical AI solutions.

• Lead technical discovery sessions with clients to understand business challenges and identify AI opportunities.
• Conduct architecture discussions and solution workshops with client technical teams.
• Act as a trusted technical advisor to client stakeholders.
• Translate business requirements into scalable AI architectures.
• Collaborate with sales teams to qualify AI opportunities.
• Design solution architectures and technical approaches during pre‑sales cycles.
• Develop technical proposals, architecture diagrams, and solution documentation.
• Build proof‑of‑concepts (PoCs) and technical demonstrations to validate AI use cases.
• Support RFP and proposal responses.
• Design end‑to‑end AI systems including:
• Data ingestion and data pipelines
• Machine learning and generative AI models
• Retrieval Augmented Generation (RAG) systems
• Model orchestration and APIs
• Deployment and monitoring frameworks
• Select appropriate technologies, tools, and cloud platforms.
• Ensure solutions meet scalability, performance, and security requirements.

• Collaborate with engineering and data science teams to implement AI solutions.
• Review technical designs and ensure alignment with architectural standards.
• Ensure best practices across MLOps, governance, and responsible AI.
• Stay current with emerging AI technologies and industry trends.
• Contribute to internal AI solution frameworks and accelerators.
• Support development of reusable architectures and best practices.
• Mentor engineers and architects within the organization.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 10+ years of experience in software engineering, data engineering, or architecture roles.
• 5+ years of experience designing or implementing AI/ML solutions.
• Experience in client‑facing consulting or solution architecture roles.
• Strong understanding of enterprise system architecture and distributed systems.

• Machine Learning and Deep Learning
• Generative AI and Large Language Models (LLMs)
• Natural Language Processing (NLP)
• Retrieval Augmented Generation (RAG)
• Model deployment and evaluation

• Distributed systems architecture
• Data pipelines and data platforms
• Microservices and API‑based architectures
• Integration with enterprise systems

• AWS

• PyTorch or Tensor Flow
• Lang Chain, Llama Index, or similar GenAI frameworks
• Databricks, Snowflake, or modern data platforms