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

1. Hands-on experience building AI agents, workflows, and orchestrators
2. Strong understanding of agentic architectures and multi-agent systems
3. Experience with LLMs and AI platforms (OpenAI, Anthropic, open-source models, etc.)
4. Expertise in prompt engineering and AI interaction design
5. Experience with frameworks for agentic development (e.g., LangChain, LlamaIndex, or similar) AI Tools & Ecosystem
6. Exposure to a wide range of AI tools (open-source and commercial)
7. Ability to evaluate, experiment, and integrate AI models into applications
8. Experience developing AI-powered automation and workflows Programming & Engineering
9. Proficiency in at least one programming language (Python preferred; others acceptable)
10. Experience with APIs, backend systems, and microservices
11. Understanding of scalable system design and integration patterns Cloud & Platform (AWS & Azure)
12. Hands-on experience with AWS and/or Azure services and cloud-native architectures
13. Familiarity with containerization (Docker) and orchestration (Kubernetes preferred)
14. Experience with serverless patterns and managed services across AWS/Azure
15. Understanding of CI/CD pipelines and DevOps practices Presales & Customer Engagement
16. Experience participating in customer meetings, demos, and solution discussions
17. Ability to translate AI capabilities into business outcomes
18. Experience building and presenting POCs, prototypes, and technical demonstrations Experience Requirements
19. 8–12+ years of overall experience in software engineering, solution architecture, or AI enablement roles
20. 2–4+ years of hands-on experience in AI/LLM-based systems or AI-enabled development
21. Proven experience in presales, POCs, or customer-facing engagements is highly preferred Soft Skills & Behavioral Expectations
22. Strong willingness to learn, experiment, and adapt to evolving AI technologies
23. Self-motivated and effective in a collaborative team environment
24. Excellent written and verbal communication skills in English
25. Ability to work closely with customer and onshore teams
26. Strong mentoring and coaching mindset to uplift team capabilities
27. Curiosity-driven approach with passion for innovation and continuous improvement
28. Strong problem-solving and analytical thinking abilities
29. Ownership mindset with focus on delivery and impact

Why Join Us

1. Opportunity to drive AI transformation within a leading Digital Services organization 2. Work on cutting-edge agentic AI systems across AWS and Azure ecosystems 3. High visibility role combining engineering, enablement, and customer engagement 4. Collaborative, innovation-driven, and growth-oriented environment