AI Enablement Lead

Techwave , we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do. Who are we? Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations.

We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT). Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth.

Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible. And we want YOU to be a part of it. Job Description AI Enablement Lead / Senior Engineer (Agentic Systems | AWS & Azure | Digital Services) Role Summary We are seeking a high-impact AI Enablement professional to accelerate AI adoption across our Digital Services service line.

This hybrid role blends strategy, hands-on engineering, and customer engagement. You will design and implement agentic systems (AI agents, orchestrators), enable engineering teams through mentorship and training, and actively support presales and customer interactions. The ideal candidate is adaptable across tools and models, comfortable operating in AWS and Azure cloud environments, and capable of translating AI capabilities into tangible business outcomes.

Key Responsibilities

1. Drive AI enablement initiatives across Digital Services, promoting AI-first engineering practices
2. Design, develop, and deploy AI agents, multi-agent systems, and orchestration workflows
3. Evaluate and integrate a variety of AI models (open-source and commercial) into enterprise solutions
4. Build reusable AI components such as skills, prompts, tools, and automation pipelines
5. Mentor and upskill engineering teams on AI tools, frameworks, and best practices
6. Conduct workshops, training sessions, and hands-on enablement programs
7. Participate in presales activities, customer meetings, demos, and solution discussions
8. Develop Proof of Concepts (POCs) and prototypes to showcase AI capabilities and business value
9. Collaborate with architects and delivery teams to embed AI solutions into client engagements
10. Establish best practices for prompt engineering, model usage, evaluation, and AI governance
11. Continuously explore emerging AI tools, frameworks, and trends for adoption
12. Translate business problems into AI-driven solutions aligned to Digital Services offerings Required Skills & Expertise AI & Agentic Systems
13. Hands-on experience building AI agents, workflows, and orchestrators
14. Strong understanding of agentic architectures and multi-agent systems
15. Experience with LLMs and AI platforms (OpenAI, Anthropic, open-source models, etc.)
16. Expertise in prompt engineering and AI interaction design
17. Experience with frameworks for agentic development (e.g., LangChain, LlamaIndex, or similar) AI Tools & Ecosystem
18. Exposure to a wide range of AI tools (open-source and commercial)
19. Ability to evaluate, experiment, and integrate AI models into applications
20. Experience developing AI-powered automation and workflows Programming & Engineering
21. Proficiency in at least one programming language (Python preferred; others acceptable)
22. Experience with APIs, backend systems, and microservices
23. Understanding of scalable system design and integration patterns Cloud & Platform (AWS & Azure)
24. Hands-on experience with AWS and/or Azure services and cloud-native architectures
25. Familiarity with containerization (Docker) and orchestration (Kubernetes preferred)
26. Experience with serverless patterns and managed services across AWS/Azure
27. Understanding of CI/CD pipelines and DevOps practices Presales & Customer Engagement
28. Experience participating in customer meetings, demos, and solution discussions
29. Ability to translate AI capabilities into business outcomes
30. Experience building and presenting POCs, prototypes, and technical demonstrations Experience Requirements 1. 8–12+ years of overall experience in software engineering, solution architecture, or AI enablement roles 2. 2–4+ years of hands-on experience in AI/LLM-based systems or AI-enabled development
31. Proven experience in presales, POCs, or customer-facing engagements is highly preferred Soft Skills & Behavioral Expectations
32. Strong willingness to learn, experiment, and adapt to evolving AI technologies
33. Self-motivated and effective in a collaborative team environment
34. Excellent written and verbal communication skills in English
35. Ability to work closely with customer and onshore teams
36. Strong mentoring and coaching mindset to uplift team capabilities
37. Curiosity-driven approach with passion for innovation and continuous improvement
38. Strong problem-solving and analytical thinking abilities
39. Ownership mindset with focus on delivery and impact Why Join Us
40. Opportunity to drive AI transformation within a leading Digital Services organization
41. Work on cutting-edge agentic AI systems across AWS and Azure ecosystems
42. High visibility role combining engineering, enablement, and customer engagement
43. Collaborative, innovation-driven, and growth-oriented environment