Role Overview

Intertec Systems is seeking a visionary and execution-focused AI Practice Lead to head our AI initiatives across all lines of business Digital, Managed Services, Cloud, EAM, Cybersecurity, and Microsoft solutions.

This role will own the charter to define, build, and scale innovative AI use cases leveraging Machine Learning (ML), Computer Vision, Agentic AI, and Gen AI applications for:

- Client solutions (presales, PoCs, proposals).

- Internal business transformation.

- Product roadmap acceleration.

The ideal candidate will be an expert hands-on AI engineer who can lead with both strategy and execution.

This individual will lead the AI Center of Excellence (CoE) and work closely with Business Units, Technology Teams, and Clients.

Key Responsibilities :

Strategy & Leadership :

- Define and execute the vision and roadmap for AI adoption at Intertec across functions.

- Lead the AI CoE and drive cross-functional collaboration with presales, delivery, product, and marketing teams.

- Evaluate and prioritize AI use cases based on business impact and feasibility.

Solution Development & Presales :

- Partner with sales and account teams to ideate and propose AI solutions in RFPs and client engagements.

- Build PoCs, reference architectures, and solution accelerators using ML, Computer Vision, NLP, and Generative AI.

- Identify AI opportunities with business outcomes across verticals like Government, Healthcare, Utilities, BFSI, and Real Estate.

Use Case Design & Development :

- Own delivery of all active and upcoming AI use cases across Intertecs client and internal platforms.

- Drive implementation of Agentic AI (LLM-based task automation), multi-agent frameworks (e.g., CrewAI, LangGraph), and intelligent workflows.

Innovation & R&D :

- Evaluate emerging AI technologies, LLMs, vector databases, and open-source models for product or customer requirements.

- Pilot AI use cases internally (finance automation, talent intelligence, project risk prediction, etc.).

- Scale successfully piloted AI solutions within the organization.

- Keep the organization at the forefront of GenAI, multi-modal AI, and enterprise AI trends.

- Create a catalogue of resuable AI assets to be monetized by the company.

Governance & Enablement :

- Define best practices, MLOps standards, data governance frameworks.

- Train and upskill teams in AI tooling and architecture.

- Ensure responsible AI practices, ethical design, and regulatory compliance.

Required Skills & Experience :

Must-Have Skills :

- 7+ years in technology or consulting, with 4+ years in AI/ML.

- Strong experience in AI presales and solution architecture (client-facing).

- Expert-level hands-on coding and prototyping experience.

- Hands-on proficiency in :

- ML frameworks (TensorFlow, PyTorch, scikit-learn).

- Computer Vision (YOLO, OpenCV, segmentation models).

- Agentic AI tools (LangChain, CrewAI, AutoGen, RAG, LlamaIndex).

- Proven success building AI/ML PoCs, solutions, or products from scratch.

- Familiar with vector databases, RAG architecture, prompt engineering, and LLM orchestration.

- Knowledge of MLOps and deployment pipelines (MLflow, Kubeflow, Azure ML, Sagemaker).

- Excellent communication skills with the ability to influence both technical and non-technical stakeholders.

- Strong understanding of cloud and infrastructure requirements for AI workloads, including:

- GPU types and capacity planning (e.g., A100, H100, T4).

- AI-optimized storage and high-throughput systems.

- Deployment environments (Docker, Kubernetes, VM instances).

- Cost/performance analysis across Azure, AWS, GCP.

- MLOps tools and scalable model deployment architectures.

Preferred/Bonus :

- Experience leading AI practices in mid-sized or regional IT services companies.

- Exposure to AI compliance and Responsible AI frameworks.

Tools & Technologies :

- ML & CV: PyTorch, TensorFlow, scikit-learn, OpenCV, YOLO, Detectron2.

- LLMs & Agents: OpenAI, Anthropic, LangChain, CrewAI, LlamaIndex, Haystack.

- Deployment: Azure AI, AWS Sagemaker, Vertex AI, Docker, Kubernetes.

- Data & Ops: MLflow, Airflow, Hugging Face, Weights & Biases.

- Vector DBs: FAISS, Pinecone, Chroma, Qdrant.

What Youll Influence :

- Shape the AI GTM strategy for Intertec.

- Elevate client conversations from solutioning to innovation.

- Help Intertec become an AI-first systems integrator.