AI Enablement Lead

About Us

Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We enable clients to maximize their potential and achieve greater market reach through a wide array of technology services, including Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of Things (IoT). Founded in 2004 and headquartered in Houston, TX, USA, Techwave leverages expertise in Digital Transformation, Enterprise Applications, and Engineering Services to help businesses accelerate growth. We foster a culture of growth and inclusivity, challenging our team at every step and providing opportunities to excel.

About the Role

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.

Responsibilities

• Drive AI enablement initiatives across Digital Services, promoting AI-first engineering practices
• Design, develop, and deploy AI agents, multi-agent systems, and orchestration workflows
• Evaluate and integrate a variety of AI models (open-source and commercial) into enterprise solutions
• Build reusable AI components such as skills, prompts, tools, and automation pipelines
• Mentor and upskill engineering teams on AI tools, frameworks, and best practices
• Conduct workshops, training sessions, and hands-on enablement programs
• Participate in presales activities, customer meetings, demos, and solution discussions
• Develop Proof of Concepts (POCs) and prototypes to showcase AI capabilities and business value
• Collaborate with architects and delivery teams to embed AI solutions into client engagements
• Establish best practices for prompt engineering, model usage, evaluation, and AI governance
• Continuously explore emerging AI tools, frameworks, and trends for adoption
• Translate business problems into AI-driven solutions aligned to Digital Services offerings

Requirements

• 8–12+ years of overall experience in software engineering, solution architecture, or AI enablement roles
• 2–4+ years of hands-on experience in AI/LLM-based systems or AI-enabled development
• Proven experience in presales, POCs, or customer-facing engagements is highly preferred

Skills & Qualifications

AI & Agentic Systems

• Hands-on experience building AI agents, workflows, and orchestrators
• Strong understanding of agentic architectures and multi-agent systems
• Experience with LLMs and AI platforms (OpenAI, Anthropic, open-source models, etc.)
• Expertise in prompt engineering and AI interaction design
• Experience with frameworks for agentic development (e.g., LangChain, LlamaIndex, or similar)

AI Tools & Ecosystem

• Exposure to a wide range of AI tools (open-source and commercial)
• Ability to evaluate, experiment, and integrate AI models into applications
• Experience developing AI-powered automation and workflows

Programming & Engineering

• Proficiency in at least one programming language (Python preferred; others acceptable)
• Experience with APIs, backend systems, and microservices
• Understanding of scalable system design and integration patterns

Cloud & Platform (AWS & Azure)

• Hands-on experience with AWS and/or Azure services and cloud-native architectures
• Familiarity with containerization (Docker) and orchestration (Kubernetes preferred)
• Experience with serverless patterns and managed services across AWS/Azure
• Understanding of CI/CD pipelines and DevOps practices

Presales & Customer Engagement

• Experience participating in customer meetings, demos, and solution discussions
• Ability to translate AI capabilities into business outcomes
• Experience building and presenting POCs, prototypes, and technical demonstrations

Soft Skills & Behavioral Expectations

• Strong willingness to learn, experiment, and adapt to evolving AI technologies
• Self-motivated and effective in a collaborative team environment
• Excellent written and verbal communication skills in English
• Ability to work closely with customer and onshore teams
• Strong mentoring and coaching mindset to uplift team capabilities
• Curiosity-driven approach with passion for innovation and continuous improvement
• Strong problem-solving and analytical thinking abilities
• Ownership mindset with focus on delivery and impact

Why Join Us

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