Coherent Corp. is looking to solve the problem of developing and implementing a comprehensive GenAI strategy and solution across the enterprise, with a focus on scaling from pilot to production and integrating AI with core business systems and products.
Requirements
- Hands-on experience building AI agents/RAG with strong Python; practical LLM ops (prompting, evals, guardrails, cost/perf tuning)
- Deep enterprise integration experience (REST, webhooks, eventing) and connecting AI to core ERP/CRM/MES/DWH/SaaS platforms
- Experience with cloud AI/ML platforms (Azure ML, AWS Sagemaker, GCP Vertex AI) for enterprise deployments
- Familiarity with modern data stack tools (Databricks, Snowflake, Spark, Kafka)
- Strong grounding in data security, privacy, and compliance requirements (GDPR, CCPA, ITAR, CMMC, AI ethics frameworks)
- Experience with generative AI and LLMs (OpenAI, Anthropic, Azure/OpenAI Service, Hugging Face)
- Knowledge of computer vision and NLP for enterprise use cases (quality inspection, document intelligence, conversational AI)
Responsibilities
- Lead the enterprise GenAI strategy and multi-year roadmap; bring sustainable methodologies (evals, safety, cost/perf, lifecycle)
- Design, prototype, and ship AI agents/RAG/search, document automation, knowledge assistants, and workflow copilots tied to measurable outcomes
- Pressure-test external solutions for explainability, sustainability, and model-evolution roadmaps; recommend build vs. buy
- Partner with IT on platform choice and reference architectures (vector DB, policy/guardrails, observability, prompt/eval stores); guide design for internally built solutions
- Assist business owners with AI procurement—lead technical due diligence, security/compliance feasibility, and integration planning with commercial and IT
- Oversee the architecture, design, and deployment of AI/ML solutions across the enterprise with emphasis on deep learning, generative AI, and predictive analytics
- Drive enterprise-grade integration of GenAI into business workflows by connecting LLMs to internal knowledge repositories and systems
Other
- Bachelor’s (12+ yrs), Master’s (10+ yrs) relevant experience
- Proven success deploying GenAI in commercial or enterprise settings and scaling from pilot to production
- Excellent communicator who simplifies complexity and navigates cross-functional stakeholders (execs → frontline)
- Strong analytical mindset—defines success metrics, measures outcomes, and iterates
- Hybrid position (three days a week in office)
