Engineering Manager - AI Role Summary Lead multi-cloud AI, data & analytics programs from pre-sales through production, ensuring on-time, high-quality delivery while nurturing innovation and strong customer relationships. Key Responsibilities 1. Delivery Leadership: Plan, track and deliver AI/ML projects (from PoCs to enterprise scale) across AWS, GCP and Azure; manage scope, budget, risk and quality etc. 2. Technical Oversight: Guide teams building NLP, deep-learning, and generative-AI solutions; review architectures, data pipelines and visual-analytics layers. Enforce MLOps, CI/CD, security and compliance standards for production deployments. 3. Pre-Sales & RFPs: Shape solution strategy, effort estimates and pricing; craft compelling RFP/RFI responses and present to executive stakeholders. 4. Stakeholder Management: Serve as single point of contact for clients; run steering-committee meetings, demos; escalate and resolve issues swiftly. 5. Innovation & Best Practice: Champion reusable assets, technical accelerators and design patterns 6. People Leadership: Mentor cross-functional teams (data engineers, ML engineers, scientists, DevOps) and foster a culture of continuous learning. Qualifications 1. Experience: 10 to 15 years in data/AI delivery, including 3+ years as delivery/engagement manager. 2. Cloud: Proven hands-on leadership of production workloads on AWS, GCP and Azure. 3. AI/ML: Track record with NLP, deep learning, GenAI/LLM pipelines; comfortable guiding feature engineering and model fine-tuning. 4. Data & Analytics: Solid grounding in batch/stream data engineering (Spark, BigQuery, Redshift, Synapse); BI / visualization (Looker, Power BI, Tableau). 5. RFP & Pre-Sales: Authored or reviewed winning proposals >$1 M; confident presenter. 6. Education: Bachelor’s in CS, Engineering or similar; Master’s/MBA desirable; relevant cloud & ML certs (e.g., AWS SA-Pro, GCP PM, Azure AI) preferred. Core Competencies 1. Client-facing communication & storytelling. 2. Analytical problem-solving to unblock teams to deliver 3. Ability to juggle multiple deliveries with ease 4. Learn and motivate teams to learn & implement the latest AI trends, tools, frameworks
