Sr. AI & Innovation Engineer

Role Overview

AI Practice Lead

Machine Learning (ML), Computer Vision, Agentic AI, and Gen AI applications

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

expert hands-on AI engineer

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 Intertec’s 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

LLMs & Agents

Deployment

Data & Ops

Vector DBs

What You’ll Influence

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