Senior Director, AI Solutions

Alamar Biosciences•Fremont, CA

2d•$280,000 - $300,000

About The Position

At Alamar, we are passionate about enabling our customers to make scientific discoveries that translate into clinical outcomes and benefit patients. Our team is growing quickly as we develop innovative approaches to measure critical protein biomarkers from liquid samples that can enable the earliest possible detection of disease. We believe the next frontier in biology is enabled by measuring proteins at higher sensitivity in highly multiplexed assays at the push of a button, which is something only Alamar can do. As we build our team, we seek collaborative, driven, intellectually curious people committed to solving complex challenges. Our culture rewards accountability and cross functional teamwork because we believe this enables the kind of breakthrough thinking that will accelerate our mission. We are seeking a highly strategic and execution-oriented Senior Director of AI Solutions to lead the design, delivery, and evolution of AI agents and intelligent features that transform how our customers, partners, and internal teams leverage Alamar's differentiated capabilities. This role sits at the intersection of product innovation, technical implementation, and measurable business impact. The ideal candidate combines deep technical expertise with strong product instincts, exceptional project management capabilities, and the ability to move seamlessly between strategic planning and hands-on development. This is a senior individual contributor role reporting to the VP of AI & Strategic Initiatives. You will be responsible for defining strategic approaches to AI-powered solutions, driving end-to-end delivery of high-impact agents, and maintaining a portfolio of production systems that deliver measurable ROI. You must be equally comfortable architecting multi-agent systems, writing production code, managing complex cross-functional programs, and evangelizing adoption across diverse stakeholder groups.

Requirements

12+ years of experience in technical roles spanning product development, AI/ML engineering, and solution delivery
Proven track record architecting and delivering production AI systems, intelligent agents, or ML-powered products that drove measurable business outcomes
Strong hands-on technical skills with modern agentic frameworks, Python programming, and API integration
Experience with RAG and GraphRAG systems, agent orchestration, tool-calling architectures, and LLM application development
Demonstrated ability to manage complex, multi-stakeholder technical programs from concept through production
Strong product instincts and user empathy - ability to translate user needs into technical requirements
Excellent communication skills with ability to engage effectively with technical and non-technical audiences
Self-directed and comfortable operating with ambiguity in fast-paced startup environments
Proven ability to drive adoption of new technologies through effective training, documentation, and change management

Nice To Haves

Experience in biotech, life sciences, or scientific software domains
Background in computational biology, bioinformatics, or omics data analysis
Familiarity with scientific data platforms, ELNs, LIMS systems, or laboratory informatics
Experience building customer-facing AI features or B2B SaaS products
Knowledge of data governance, regulatory requirements, or compliance frameworks (HIPAA, FDA, ISO)
Contributions to open-source AI/ML projects or active participation in AI development communities
Experience working with product management, go-to-market teams, or in customer-facing technical roles

Responsibilities

Define and drive strategic initiatives to increase accessibility and value delivery of Alamar's capabilities through intelligent features and AI-powered experiences
Identify opportunities where AI agents can accelerate operational excellence, reduce friction, and create measurable business outcomes
Co-develop roadmaps for AI solution development aligned with commercial, R&D, and customer success priorities
Partner with leadership to translate business objectives into technical requirements and executable project plans
Conduct user research, gather feedback, and iterate on solutions to drive adoption and demonstrate clear ROI
Stay current on emerging AI capabilities, tools, and competitive landscape to inform AI & Data strategy
Architect, build, and deploy production AI agents spanning commercial workflows, operational processes, and customer-facing features
Design multi-agent systems with appropriate orchestration, tool-calling, memory management, and state handling
Implement agents using modern frameworks and integrate with existing systems through APIs, MCPs, and custom connectors as needed
Write high-quality production code (Python, TypeScript, etc.) for agent logic, integrations, and supporting infrastructure
Build evaluation frameworks and observability systems to measure agent performance, reliability, and business impact
Establish versioning, deployment, and rollback strategies for production agent systems
Own the full lifecycle of delivered agents including ongoing maintenance, enhancement, and iteration based on usage patterns and feedback
Drive end-to-end project delivery from concept through production release, ensuring on-time delivery with high quality
Manage dependencies across the AI team, engineering, product, commercial, R&D, and operations teams
Create clear project plans with milestones, success metrics, and risk mitigation strategies
Facilitate stakeholder alignment through effective communication, demos, and progress reporting
Navigate technical and organizational complexity to unblock execution bottlenecks
Build adoption strategies including training materials, documentation, and change management support
Collaborate with data and AI platform team members to leverage foundational capabilities (data lakehouse, model serving, governance frameworks)
Build integration layers connecting agents to internal systems, external data sources, and third-party services
Implement governance frameworks, security, privacy, and compliance requirements appropriate for production AI systems
Optimize agent performance, cost, and scalability as usage grows
Contribute to shared tooling, libraries, and best practices that accelerate future agent development
Investigate and prototype AI/ML approaches to accelerate biological insight generation from Alamar data
Explore opportunities to streamline algorithm development workflows through intelligent automation
Identify and evaluate external datasets (public repositories, commercial subscriptions, partnerships) that could enhance AI solution capabilities
Build proof-of-concept integrations demonstrating value of new data sources or analytical approaches