Enterprise AI & Generative AI Developer

Enterprise AI & Generative AI Developer

Location:

Bloomfield, CT / Austin, TX (Onsite)

Duration:
Fulltime

Salary: $150K / Year + Benefits

• Define and own end-to-end AI architecture for enterprise solutions, from data ingestion to AI-driven decisioning and insights.
• Design AI native platforms where GenAI and ML capabilities are embedded as core services, not bolt-ons.
• Establish modular, reusable, and composable AI components aligned to enterprise architecture standards.
• Ensure scalability, performance, reliability, and security of AI systems in production.

• Architect Generative AI solutions, including:
  • Large Language Models (LLMs)
  • Retrieval Augmented Generation (RAG)
  • Multi-agent and agent orchestration patterns
• Define agent workflows, memory/context handling, tool integration, and decision confidence mechanisms.
• Guide responsible selection and usage of cloud‑based and open-source LLMs.

• Design AI solutions leveraging modern data platforms, feature stores, vector databases, and knowledge graphs.
• Define MLOps / LLMOps pipelines for training, evaluation, deployment, monitoring, and lifecycle management.
• Implement mechanisms for model versioning, drift detection, cost optimization, and continuous improvement.

• Ensure AI solutions adhere to enterprise security, privacy, and compliance requirements.
• Embed Responsible AI principles, including explainability, auditability, bias mitigation, and human‑in‑the‑loop controls.
• Define governance frameworks for model usage, access control, and operational oversight.

• Act as technical thought leader for AI initiatives across delivery teams.
• Collaborate with product owners, UX designers, data engineers, cloud engineers, and Dev Ops teams.
• Provide architecture guidance, reviews, and mentorship to senior engineers.
• Communicate complex AI concepts clearly to technical and non‑technical stakeholders.

• Strong experience with Generative AI and Agentic AI architectures.
• Hands‑on knowledge of LLMs, embeddings, RAG pipelines, prompt engineering, and agent frameworks.
• Proficiency in Python for AI/ML development.
• Experience with ML/DL frameworks such as Tensor Flow, PyTorch, scikit‑learn.
• Knowledge of data engineering, feature engineering, and analytics pipelines.
• Familiarity with vector databases, graph databases, and search engines.
• Experience designing AI solutions on cloud platforms (AWS, Azure, or GCP).
• Strong understanding of cloud‑native, microservices, and API‑driven architectures.
• Exposure to observability, monitoring, and logging for AI systems.
• Knowledge of data privacy, security best practices, and enterprise compliance standards.
• Experience designing secure and governed AI solutions.
• 12–16 years of overall IT experience.
• 8+ years of experience in AI/ML solution or enterprise architecture.
• Proven experience delivering production‑grade AI platforms at scale.
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.