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Intertec Systems is seeking a visionary and execution-focused AI Practice Lead to lead our AI initiatives across all lines of business including 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 AI Agents for:

• Client solutions (presales PoCs proposals)
• Internal business transformation
• Product roadmap acceleration

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

• 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

• 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
• Translate business problems into AI opportunities across verticals like Government, Healthcare, Utilities, BFSI, and Real Estate

• Identify AI opportunities within Intertec's products and client platforms (e.g., service desk automation, asset intelligence, anomaly detection, fraud detection)
• Drive implementation of Agentic AI (LLM‑based task automation), multi‑agent frameworks (e.g., CrewAI, LangGraph), and intelligent workflows
• Leverage cloud‑native AI tools (Azure AI, AWS SageMaker, Google Vertex AI)

• Evaluate emerging AI technologies, LLMs, vector databases, and open‑source models
• Pilot AI use cases internally (finance automation, talent intelligence, project risk prediction, etc.)
• Keep the organization at the forefront of GenAI, multi‑modal AI, and enterprise AI trends

• Define best practices, MLOps standards, and data governance frameworks
• Train and upskill teams in AI tooling and architecture
• Ensure responsible AI practices, ethical design, and regulatory compliance

• 10 years in technology or consulting with 4 years in AI/ML leadership
• Strong experience in AI presales and solution architecture (client‑facing)
• Hands‑on proficiency in:
• ML frameworks (TensorFlow, PyTorch, scikit‑learn)
• LLMs (OpenAI, Mistral, Claude, open‑source transformers)
• 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
• 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

• Experience with enterprise platforms (Microsoft, Oracle, ServiceNow, Salesforce) and integrating AI
• Knowledge of MLOps and deployment pipelines (MLflow, Kubeflow, Azure ML, SageMaker)
• Experience leading AI practices in mid‑sized or regional IT services companies
• Exposure to AI compliance and Responsible AI frameworks

PyTorch, TensorFlow, scikit‑learn, OpenCV, YOLO, Detectron2

OpenAI, Anthropic, LangChain, CrewAI, LlamaIndex, Haystack

Azure AI, AWS SageMaker, Vertex AI, Docker, Kubernetes

MLflow, Airflow, Hugging Face, Weights & Biases

FAISS, Pinecone, Chroma, Qdrant

• Shape the AI GTM strategy for Intertec
• Elevate client conversations from solutioning to innovation
• Help Intertec become an AI‑first systems integrator