Gen AI Lead

Synechron•New York, NY

2d•$140,000 - $155,000

About The Position

Synechron is seeking an experienced GenAI Lead to drive the design, development, and implementation of Generative AI solutions across the organization. The role leads technical strategy and engineering teams, and works with business stakeholders to build secure, scalable, production-ready AI applications. Its technical scope includes large language models, retrieval-augmented generation, AI agents, prompt engineering, model evaluation, and responsible AI. The position combines technical expertise, leadership, business understanding, and the ability to turn emerging AI capabilities into measurable business value. The GenAI Lead defines the organization's technical strategy and roadmap, leads architecture through deployment, and establishes practices for evaluating, monitoring, governing, and improving AI applications. The role collaborates across technical and business teams, mentors engineers, supports proofs of concept and production transitions, and may contribute to pre-sales and client engagements. For a position filled in New York, NY, the stated base salary is $140,000–$155,000 per year, plus benefits. Compensation varies by geography and other factors. Benefits and plans may vary by region.

Requirements

12+ years of overall experience in software engineering, data science, machine learning, or AI solution delivery.
2+ years of hands-on experience designing and implementing Generative AI solutions.
Strong experience with large language models and foundation model platforms such as OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Anthropic, or open-source models.
Proven experience building and deploying RAG-based applications and AI assistants.
Strong Python programming skills and familiarity with software development best practices.
Experience with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, PyTorch, TensorFlow, or similar technologies.
Experience with vector databases such as Pinecone, FAISS, Weaviate, Milvus, Chroma, or Azure AI Search.
Strong understanding of APIs, microservices, cloud platforms, databases, and enterprise application integration.
Experience with model evaluation, prompt optimization, hallucination mitigation, and AI application testing.
Knowledge of MLOps, LLMOps, CI/CD, containerization, and deployment automation.
Experience leading technical teams, projects, or enterprise AI initiatives.
Strong communication, stakeholder management, analytical, and problem-solving skills.

Nice To Haves

Experience developing autonomous or semi-autonomous AI agents and multi-agent systems.
Experience with multimodal AI, including text, image, audio, or document intelligence.
Experience with model fine-tuning, parameter-efficient fine-tuning, and synthetic data generation.
Knowledge of knowledge graphs, graph databases, or semantic search.
Experience implementing AI governance, security, privacy, and compliance controls.
Familiarity with cloud services from AWS, Microsoft Azure, or Google Cloud.
Experience in regulated industries such as financial services, healthcare, insurance, or government.
Experience with enterprise security concepts, data masking, access controls, and responsible AI frameworks.
Relevant certifications in cloud, AI, machine learning, or data engineering.
Experience publishing technical content, presenting at conferences, or contributing to open-source projects.

Responsibilities

Define and execute the organization's Generative AI technical strategy and roadmap.
Lead the architecture, design, development, and deployment of GenAI solutions.
Build production-grade applications using large language models, foundation models, and AI services.
Design and implement RAG, AI agent and agentic workflow, prompt engineering and orchestration, fine-tuning and model adaptation, embeddings and vector database, and text-generation solutions.
Evaluate and select commercial, open-source, and cloud-based AI models.
Develop reusable frameworks, accelerators, APIs, and components for GenAI adoption.
Lead integration of GenAI solutions with enterprise applications, data platforms, APIs, and business processes.
Establish standards for model evaluation, accuracy, reliability, performance, cost, security, and scalability.
Implement observability, monitoring, feedback loops, and continuous improvement processes for AI applications.
Ensure responsible AI practices, including privacy, security, fairness, explainability, governance, and regulatory compliance.
Collaborate with data scientists, software engineers, cloud architects, product managers, cybersecurity teams, and business stakeholders.
Translate business requirements into practical AI use cases and technical solutions.
Lead proofs of concept and transition validated solutions into production.
Mentor and guide engineering teams in GenAI architecture, development, testing, and deployment.
Stay current with advancements in LLMs, multimodal AI, AI agents, model tooling, and industry best practices.
Present technical strategies, solution designs, prototypes, and business outcomes to senior leadership.
Contribute to pre-sales activities, proposals, technical demonstrations, and client engagements when required.

Benefits

Competitive compensation and benefits package.
Possibility to work abroad.
10 days of paid annual leave, plus sick leave and national holidays.
Maternity and paternity leave plans.
Comprehensive insurance including medical, dental, vision, life, and long- and short-term disability; plans vary by region.
Retirement savings plans.
Higher education certification policy.
Commuter benefits, varying by region.
Extensive training opportunities focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business access to more than 5,000 curated courses for Synechron employees.
Coaching opportunities with experienced colleagues from FinLabs and Center of Excellences groups.
Flexible workplace arrangements, mentoring, internal mobility, and learning and development programs.