Sr. Ai

Role Overview Intertec Systems is seeking a visionary and execution-focused AI Practice Lead to head our AI initiatives across all lines of businessDigital 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