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.