Senior Manager, AI Engineering at Alamar Biosciences

Fremont, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Healthcare, TechnologyIndustries

Requirements

Highly technical and hands-on experience architecting and building data lakehouses and AI agent platforms
Ability to write production code in languages such as Python, Terraform, SQL, etc
Strong architectural judgment to design core systems, scalable ingestion frameworks, storage/compute layers (e.g., Delta/Iceberg/Parquet), ETL pipelines (e.g., dbt, Airflow, Dagster), and AI agent platforms (including orchestration, tool-calling, multi-agent collaboration, memory/state systems)
Expertise in data sanitization, governance, lineage, privacy, metadata management, and ensuring data integrity
Experience building model training/evaluation pipelines, including fine-tuning, RAG, embeddings, quantization, inference optimization
Knowledge of distributed compute, GPU optimization, scalable model serving, DevOps, and cloud infrastructure management
Ability to design APIs, microservices, and platform components for enterprise-wide use
Proven ability to deliver projects on-time or ahead of schedule with high reliability and engineering rigor
Experience translating broad goals into architecture plans, milestones, and execution roadmaps
Desire and ability to hire and mentor a small team of high-potential engineers
Collaborative, driven, intellectually curious mindset with strong cross-functional teamwork and accountability

Responsibilities

Architect the enterprise data lakehouse spanning internal and external data sets
Design and build scalable ingestion frameworks for structured, semi-structured, and unstructured data
Develop data sanitization and governance workflows to ensure ongoing data integrity
Implement storage and compute layers (e.g., Delta/Iceberg/Parquet) optimized for analytics, modeling, and AI agent workflows
Develop robust ETL pipelines using modern orchestration tools (e.g., dbt, Airflow, Dagster, Synapse/Fabric Pipelines, Databricks Workflows)
Establish data governance, lineage, privacy, and metadata management standards
Deliver high-throughput, low-latency pipelines supporting model training, inference, and orchestration
Architect and implement the company’s agent platform, including agent orchestration, tool-calling, multi-agent collaboration, memory/state systems, and workflow automation
Build, deploy, and manage agents of varying complexity (RAG bots, workflow agents, scientific analysis agents, multi-step business process agents) for internal, employee, customer, and partner use
Integrate observability, evaluation, and safety frameworks for agent reliability and performance
Develop the internal AI Hub for centralized management, versioning, monitoring, and governance of all agents
Write and review high-quality production code across languages and frameworks (Python, Terraform, SQL, etc.)
Build model training and evaluation pipelines, including fine-tuning, RAG pipelines, embeddings, quantization, and inference optimization
Implement distributed compute, GPU optimization, and scalable model serving environments
Manage cloud infrastructure using DevOps practices
Design APIs, microservices, and core platform components used across the organization
Translate broad goals into clear architecture plans, milestones, and execution roadmaps
Deliver projects on-time or ahead of schedule with high reliability and strong engineering rigor
Coordinate cross-functionally

Skills

AI Engineering

Data Lakehouse

Data Architecture

Scalable Ingestion

Data Governance

Delta Lake

Iceberg

Parquet

Production Code

Infrastructure

Team Leadership

Mentoring

Alamar Biosciences

Develops technology for protein detection and measurement

About Alamar Biosciences

Alamar Biosciences focuses on the study of proteins, known as proteomics, to enhance disease detection and treatment. The company has created NULISA™, a technology that can detect and measure proteins in the human body with high sensitivity and a wide range. This allows researchers and clinicians to profile clinically relevant protein biomarkers, which are essential for developing new diagnostic tests and treatments for various diseases. Alamar's ARGO™ system complements NULISA™ by providing a fully automated, high-throughput platform for precision proteomics. Unlike competitors, Alamar's technology simplifies the process, reducing the need for extensive technical expertise, making it more accessible to clients. The goal of Alamar Biosciences is to improve our understanding of proteins in health and disease, ultimately leading to better early detection and treatment options.

Hayward, CaliforniaHeadquarters

2018Year Founded

$225.7MTotal Funding

GRANTCompany Stage

Biotechnology, HealthcareIndustries

51-200Employees

Benefits

401(k) Company Match

401(k) Retirement Plan

Performance Bonus

Company Equity

Risks

Increased competition from Olink and SomaLogic may impact Alamar's market share.

Scaling production in Europe and APAC could strain resources and affect quality.

Regulatory hurdles in new regions may delay product launches and affect revenue.

Differentiation

Alamar's NULISA™ technology offers unprecedented sensitivity in protein detection.

The ARGO™ system automates high-throughput proteomics, reducing the need for technical expertise.

Alamar's focus on early disease detection sets it apart in the biotechnology field.

Upsides

ISO 13485:2016 certification boosts Alamar's credibility in the medical device industry.

European expansion with Milan headquarters enhances market reach and client service.

$10M investment accelerates Alzheimer's diagnostics development, strengthening Alamar's market position.

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