AVP - Cloud & GenAI Lead & Architect driving enterprise cloud strategy and leading AI initiatives. Collaborating on AI programs and defining cloud architecture best practices in a leadership role.
About the role
- AI/ML Engineer shaping the future of legal AI at Ironclad, using cutting-edge tools for contract management. Collaborating with product teams to enhance AI capabilities and user experiences.
Responsibilities
- Build and Tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights to customers
- Implementing backend services that power document understanding, classification, and natural language search
- Explore and apply cutting-edge techniques in NLP, LLM integration, Prompt / Context Engineering, and semantic search to advance Ironclad’s AI/ML vision
- Design and maintain robust systems for prompt management, model training / tuning, orchestration, evaluation & inference, with a focus on scalability, reliability, and observability
- Develop and scale retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflows
- Help build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring
- Partner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features
Requirements
- BS degree in Computer Science, Engineering, or a related field
- Experience working with large language models (e.g., GPT, Claude) or building RAG systems
- Experience with embedding models and vector databases
- Experience in training, evaluating, and serving machine learning models
- Hands-on experience with Python, backend service development, and RESTful APIs
- Experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering
- Proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace , OpenAI , LangChain)
- Experience with cloud platforms (e.g., GCP, AWS, Azure)
- Solid understanding of Git or other version control systems
- Strong engineering fundamentals and attention to code quality, testing, and maintainability
- Excellent communication and collaboration skills
- Passion for building AI products that solve real-world customer problems
Benefits
- 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
- Market-leading leave policies, including gender-neutral parental leave and compassionate leave
- Family forming support through Maven for you and your partner
- Paid time off - take the time you need, when you need it
- Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
- Mental health support through Modern Health, including therapy, coaching, and digital tools
- Pre-tax commuter benefits (US Employees)
- 401(k) plan with Fidelity with employer match (US Employees)
- Regular team events to connect, recharge, and have fun
- And most importantly: the opportunity to help build the company you want to work at
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Engineering intern contributing to technical projects in the music tech industry. Building production - level systems and gaining exposure to business and industry outcomes.
Lead the AI vision for AEC Construction as a Distinguished AI Architect at Autodesk. Shape how AI transforms construction towards intelligent and autonomous systems.
Director of AI Engineering developing AI systems for drug discovery at Pfizer. Collaborating with scientists to leverage AI in transforming R&D through innovative medicines and therapies.
Senior Developer crafting AI - powered banking solutions with React and backend services for FNBO. Join the GenAI team to innovate in financial services while collaborating with cross - functional teams.
AI Engineer designing and deploying AI/ML systems at Orion. Close mentorship and real - world production experience in a collaborative environment.
Senior AI Developer at a tech firm designing AI - enhanced automation solutions for business processes. Leading the development of tools integrating SAP and cloud data sources.
Director - Automation and AI Architect overseeing centralized data hub enabling collaboration for analytics and AI at Novartis.
GenAI Developer Intern leading AI - based projects at Vaisala. Developing AI - assisted test procedures and collaborating with engineers in a hybrid role.
AI Engineer developing agentic AI workflows to enhance drug discovery processes using advanced machine learning. Collaborating with medicinal chemists to deliver effective solutions.