Ai Solution Architect

JOB RESPONSIBILITIES

We are seeking a forward-thinking AI Solution Architect to lead the design, evaluation, and rollout of cutting-edge Agentic AI applications across the enterprise. The role requires both technical depth and business acumen, with the ability to identify opportunities, conceptualize solutions, and drive implementation—whether by building in-house or integrating with best-in-class external platforms.

The ideal candidate will possess a deep understanding of the Agentic AI ecosystem, be comfortable navigating the rapidly evolving world of large language models (LLMs), and demonstrate strong technical, solution-selling, and leadership skills

Key Responsibilities

• AI Solution Design & Architecture
• • Identify and evaluate opportunities to implement Agentic AI solutions aligned with business strategy.
  • Conceptualize and architect AI applications leveraging both in-house development and vendor solutions (“make or buy” approach).
  • Ensure scalable, secure, and compliant AI solution designs that integrate seamlessly into enterprise IT and data platforms.
• Agentic AI Ecosystem Ownership
• • Define and maintain the blueprint for an Agentic AI ecosystem—including LLMs, Retrieval-Augmented Generation (RAG), prompt engineering frameworks, MLOps, orchestration tools, and monitoring.
  • Partner with data engineering, and cybersecurity teams to ensure robust infrastructure and governance.
• Implementation & Rollout
• • Build, test, and deploy Agentic AI applications for diverse use cases across ST Engineering business units.
  • Manage solution pilots, proof-of-concepts, and enterprise-wide rollout projects.
  • Establish the best practices and reusable frameworks for Agentic AI adoption.
• Stakeholder Engagement & Solution Selling
• • Collaborate with business leaders to translate business needs into AI solutions.
  • Present AI solution proposals to senior stakeholders in clear, impactful ways, highlighting value, ROI, and risk considerations.
  • Drive adoption and organizational buy-in through effective communication and change management.
• Leadership & Collaboration
• • Work closely with cross-functional teams including IT, Data Science, and business units.
  • Mentor and guide team members on Agentic AI techniques, frameworks, and best practices.
  • Champion a collaborative, innovative, and learning-oriented culture.

Job Requirements:

Must-Have:

• Proven experience architecting and implementing enterprise-scale Agentic AI solutions.
• Strong expertise in:
  • Large Language Models (LLMs) and multimodal models.
  • Prompt engineering strategies and frameworks.
  • Retrieval-Augmented Generation (RAG).
  • MLOps, model deployment, and lifecycle management.
• Strong expertise with agentic AI frameworks (LangChain, CrewAI, AutoGen, etc.).
• Excellent programming skills (e.g., Python, Java, or equivalent).
• Strong communication and solution-selling skills—capable of engaging both technical and business stakeholders.
• Demonstrated ability to lead and work within multi-disciplinary teams.
• Proficiency in English, both written and spoken.
• Strong problem-solving skills with a balance of strategic vision and execution focus.
• Hands-on exposure to cloud-based AI/ML platforms (AWS, Azure, GCP).
• Prior experience in enterprise IT transformation or digital innovation programs.

Plus:

• Knowledge of enterprise data platforms, APIs, and systems integration.
• Experience in Data Science and Machine Learning model development.
• Industry certifications in AI/ML, cloud, or enterprise architecture.