ABOUT US:
As a world leading provider of integrated solutions for the alternative investment industry, Alter Domus (meaning “The Other House” in Latin) is proud to be home to 90% of the top 30 asset managers in the private markets, and more than 6,000 professionals across 24 jurisdictions.
With a deep understanding of what it takes to succeed in alternatives, we believe in being different - in what we do, in how we work and most importantly in how we enable and develop our people. Invest yourself in the alternative, and join an organization where you progress on merit, where you can speak openly with whoever you are speaking to, and where you will be supported along whichever path you choose to take.
Find out more about life at Alter Domus at careers.alterdomus.com
JOB DESCRIPTION:
Your Role:
You will be a leader in Alter Domus' AI & ML engineering organization driving enterprise-wide AI transformation. In this Senior Manager role, you will shape a multi-year AI/ML technical vision, oversee portfolio delivery aligned to business OKRs, and contribute to a high-performing team of AI engineers and ML engineers.
You'll partner with executive leadership and business stakeholders to define strategic architecture, optimize investment decisions, and deliver the product development of our groundbreaking AI-powered private equity platform, encompassing DomusDocs (intelligent document processing), DomusAI (Our internal AI platform), DomiAI (client-facing AI intelligence), and other Enterprise AI and Agent Platforms.
Your Responsibilities
Technical Excellence & Strategic Architecture
- Help define and drive the multi-year technical roadmap for Alter Domus' AI platforms, ensuring alignment with enterprise strategy and sustained innovation culture
- Make critical build-buy-partner decisions for AI/ML capabilities; evaluate and integrate emerging LLM services, agentic frameworks, and low-code platforms
- Sponsor platform modernization programs and guide the evolution from proof-of-concept to production-scale AI solutions (Like DomusAI, DomiAI, DomusDocs, Multi-Agentic Framework)
- Drive measurable and accurate business outcomes through AI adoption. You will own and establish metrics for productivity gains, accuracy of AI products, cost reduction, and revenue enablement
- Lead the technical architecture for RAG and GraphRAG pipelines, multi-agent orchestration, and LLM based documents processing technologies necessary for AI powered funds administration technology at enterprise scale
Delivery & Execution
- Manage portfolio resource mix and capital allocation; balance innovation investments with operational delivery
- Collaborate with business leaders to define product strategy, ensuring AI initiatives deliver measurable value and competitive differentiation
- Monitor AI/ML market trends, competitor capabilities, and emerging technologies to identify opportunities and threats
Operational Efficiency
- Build business cases with clear ROI tracking; establish unit economics for AI/ML services
- Design sustainable cost structure for the AI/ML portfolio; benchmark against industry standards
- Drive efficiency through platform consolidation, automation, and strategic vendor partnerships
- Optimize LLM API costs, vectorization technologies and performance, and model-inferencing infrastructure utilization
Collaboration & Communication
- Deliver executive-ready presentations with clear storylines tied to business value; provide org-wide AI/ML updates that inspire alignment
- Represent Alter Domus externally at conferences, with partners, vendors, and industry forums
- Partner with Product, Security, Compliance, Infrastructure, and Business teams to ensure seamless AI integration
- Build trusted advisor relationships with C-suite and business unit leaders
Risk, Security & Compliance
- Define and track portfolio risk posture with board-ready reporting; establish resilience and business continuity planning
- Champion security-by-design adoption across all AI/ML initiatives; ensure responsible AI practices and data governance
- Integrate compliance throughout the AI development lifecycle; prepare for and succeed in external audits
- Establish continuous compliance practices at scale; meet enterprise risk reduction targets
Your Profile
Required:
- 10+ years of experience in software engineering, data engineering, or AI/ML engineering roles
- 5+ years managing technical teams, including experience managing managers
- Deep expertise with Python, modern ML frameworks (PyTorch, TensorFlow), and data science ecosystems
- Production experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and agentic frameworks (LangChain, LangGraph etc)
- Strong understanding of vector databases, RAG and GraphRAG architectures, and semantic search
- Experience with cloud platforms (AWS, Azure or GCP), microservices, APIs, and containerization (Docker/Kubernetes)
- Proven track record delivering enterprise AI/ML solutions at scale
- Experience w