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data architect data foundry

Information Technology Senior Management Forum

<div><div>Posted Date
3/18/2026
</div><div>Description
<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Position: Data Architect, Data Foundry
Location: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
Overview
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation &amp; Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.
Position Summary
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible. You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets&mdash;serving both discovery scientists and autonomous AI agents.
This role is the foundation of Architecture4Insight . Everything the software engineering team builds&mdash;pipelines, APIs, prototypes&mdash;depends on the data models and platform architecture this team designs. You will work with deep knowledge of scientific data (chemical, biological, HTE, automation-generated) to create custom-fit solutions, then partner with Tech@Lilly to scale and maintain them. The role spans three focus areas depending on expertise: data modeling &amp; ontologies , data platform &amp; lakehouse architecture , and knowledge graph &amp; specialized data systems .
Responsibilities
Data Modeling &amp; Ontologies
<ul><li>Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.</li>
<li>Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.</li>
<li>Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.</li>
</ul>
Data Platform &amp; Lakehouse Architecture
<ul><li>Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.</li>
<li>Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.</li>
<li>Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.</li>
</ul>
Knowledge Graph &amp; Specialized Data Systems
<ul><li>Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.</li>
<li>Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.</li>
<li>Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.</li>
</ul>
Cross-Functional Partnership
<ul><li>Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.</li>
<li>Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.</li>
<li>Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.</li>
<li>Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.</li>
</ul>
Basic Requirements
<ul><li>B.S. or M.S. in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field; Ph.D. valued for ontology and knowledge graph roles.</li>
<li>B.S. with 7+ years and M.S. with 5+ years of data architecture, data engineering, or scientific informatics' experience.</li>
<li>SQL skills and experience in multiple database paradigms (relational, graph, document, columnar, key-value).</li>
</ul>
Preferred Qualifications
<ul><li>Expertise in at least one of: data modeling/ontologies, data platform engineering (Databricks, Snowflake, Spark), or graph/specialized databases (Neo4j, Neptune, MongoDB).</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.</li>
<li>Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).</li>
<li>Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.</li>
<li>Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.</li>
<li>Experience with semantic web technologies: RDF, OWL, SPARQL, Prot&eacute;g&eacute;, or equivalent ontology engineering tools.</li>
<li>Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.</li>
<li>Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.</li>
<li>Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.</li>
<li>Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.</li>
<li>Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.</li>
<li>Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.</li>
<li>Experience with bioinformatics data formats (FASTA, BAM/CRAM, VCF) and biological sequence databases; familiarity with NGS data pipelines and proteomics data management.</li>
<li>FAIR data principles implementation experience and Data Readiness Level frameworks.</li>
<li>Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt, pathway databases such as Reactome or KEGG).</li>
</ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$132,000 - $193,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
132,000.00 - 193,600.00 Annual</div></div><div></div>

Data Architect, Data Foundry

Daley And Associates, LLC

<div>
 
 
 Senior Data Engineer &ndash; Enterprise Data Platform (Microsoft Fabric)
 
 
 
 
 
 Daley and Associates is seeking a Senior Data Engineer for an investment management client to help architect and scale its enterprise data platform built on Microsoft Fabric. This individual contributor will design foundational data architecture, establish governance standards, and ensure a scalable, secure ecosystem supporting analytics, reporting, and AI initiatives.
 
 
 
 
 
 This role has a base salary range of $135,000.00 to $175,000.00.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Architect and enhance a Fabric-based platform using OneLake, Lakehouses, Warehouses, Pipelines, and Spark.
 
 </li>
 <li>
 
 Define architectural standards, governance frameworks (data quality, lineage, metadata, access), and best practices.
 
 </li>
 <li>
 
 Translate business needs into scalable Fabric-native solutions.
 
 </li>
 <li>
 
 Oversee external engineering partners through design reviews and quality assurance.
 
 </li>
 <li>
 
 Drive adoption of modern Fabric capabilities and reduce legacy Azure patterns.
 
 </li>
 <li>
 
 Partner with business teams to deliver high-impact data products.
 
 </li>
 <li>
 
 Guide enterprise Power BI practices, including semantic modeling, Direct Lake strategy, performance, and governance.
 
 </li>
 <li>
 
 Contribute hands-on to prototypes, frameworks, and critical components.
 
 </li>
 <li>
 
 Mentor engineers and collaborate with cloud/security teams on platform resilience and compliance.
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 7+ years in data engineering, analytics engineering, or software engineering.
 
 </li>
 <li>
 
 Experience building enterprise-scale data platforms and guiding distributed engineering teams.
 
 </li>
 <li>
 
 Strong ability to translate business requirements into technical architecture.
 
 </li>
 <li>
 
 Deep expertise with Microsoft Fabric, OneLake, Spark, SQL, Python, and Power BI semantic modeling.
 
 </li>
 <li>
 
 Knowledge of dimensional modeling and modern analytics data design.
 
 </li>
 <li>
 
 Experience modernizing Azure-based data environments into Fabric-first architectures.
 
 </li>
 </ul>
 
 
 Preferred
 
 
 <ul>
 <li>
 
 Familiarity with Azure services (Synapse, ADF, ADLS), SaaS/API integrations, data governance frameworks, and Agile delivery models.
 
 </li>
 </ul>
 
 
 
 For immediate consideration, please email a resume to Ryan at rhult@daleyaa.com with the subject line &ldquo;Sr. Data Engineer &ndash; Boston, MA&rdquo;.
 
 
 
 
 
 
 
 
 
 
 IND123
</div>

Senior Data Engineer

REsurety

<div><h4 class="jobSectionHeader">Position Overview</h4>
At REsurety, our customers&mdash;the world&rsquo;s leading energy buyers and investors&mdash;rely on us for one thing: clarity. As a Technical Operations Analyst, you are responsible for the data integrity and tooling that provide this visibility. 
This is a technical role focused on the &quot;how&quot; behind our industry-leading CleanSight platform. You will be the primary link between complex market data and the actionable insights our customers see. If you are a detail-oriented problem solver who enjoys mastering internal systems and optimizing data workflows, this role offers a deep dive into the technical foundations of the energy-finance sector. 
This role provides a foundational technical career path in a high-growth industry. You will develop a niche expertise in energy data and software operations, working alongside a team that values precision, technical curiosity, and a commitment to helping customers navigate a complex market with confidence.<h6 class="jobSectionHeader"> 
Key Responsibilities</h6><ul><li>
Onboard &amp; Architect: Translate complex customer portfolios and contracts into the CleanSight platform, ensuring every project is mapped with 100% accuracy.</li><li>
Maintain the &quot;Source of Truth&quot;: Configure and validate our internal backend systems. You will merge public and proprietary data to ensure our services team has the most reliable information available.</li><li>
Technical Troubleshooting: Identify, investigate, and resolve data ingestion errors. You&rsquo;ll act as the first line of defense for system health, ensuring a seamless experience for platform users.</li><li>
Tooling &amp; Automation: Look for manual bottlenecks and build better ways to work. You will help implement system improvements, including exploring agentic AI workflows to streamline data processing.</li><li>
Market Intelligence: Conduct research on clean energy projects to ensure our database remains the most comprehensive in the industry.</li><li>
Process Documentation: Establish best practices and maintain clear documentation for backend support, helping our team stay efficient as we scale.</li></ul><h6 class="jobSectionHeader">
Required Experience &amp; Qualifications</h6><ul><li>
Quantitatively Minded: You hold a degree in Math, Engineering, Computer Science, Physics, Finance, or a related field.</li><li>
Execution-Focused: You are a self-motivated problem solver who can take a complex task and run with it, ensuring it&rsquo;s completed accurately and on time.</li><li>
Collaborative &amp; Feedback-Driven: You enjoy working in a team-oriented environment where asking productive questions and learning from peers is part of the daily rhythm.</li><li>
Technical Aptitude: You are proficient in Excel and have foundational experience (or a strong interest in developing proficiency) in SQL and Python.</li><li>
Detail-Oriented: You understand that high-level visibility for our customers is only possible if the underlying data is perfect.</li></ul>
Preferred Qualifications<ul><li>
Familiarity with KNIME, APIs, and JSON data formats.</li><li>
Experience with ticketing systems and collaboration across technical, cross-functional teams.</li><li>
Knowledge of project or contract settlement data specific to renewable energy resources (wind, solar, or battery storage).</li><li>
Demonstrated ability to process extensive datasets, including time-series data from meteorological, finance, or operational wind/solar farm sources.</li></ul><h4 class="jobSectionHeader"> 
About REsurety</h4><h6 class="jobSectionHeader">
Company Overview</h6>
REsurety is the leading provider of data, software, and services to the clean energy economy and operates the only transactional marketplace for clean power. Trusted by the industry&rsquo;s leading buyers, sellers, and investors, REsurety&rsquo;s proprietary data models, powerful technology platforms, and deep domain expertise empower confident, impactful decision-making and efficient, effective portfolio management. 
We are a small team with a big impact! Our culture is open and collaborative. We expect excellence from our team members and reward it with high ownership and flexibility. If you&rsquo;re a high-achiever with a passion for clean energy, we want to hear from you.<h6 class="jobSectionHeader">
Company Values and Principles</h6>
At REsurety, we value the skills of execution, creativity &amp; ownership, commercial focus, and teamwork, and we help and encourage all team members to develop these skills while at REsurety. 
Our values also shape our culture and act as the foundation for our principles. Like all great companies, we strive to hire the best and are committed to building a diverse, inclusive company where team members feel engaged, valued, and supported. What is special about REsurety, though, is how much we:<ul><li>
Share information openly, broadly, and deliberately with each other;</li><li>
Encourage ownership by all team members;</li><li>
Provide continuous, constructive feedback; and</li><li>
Empower all team members to bring their full, authentic selves to work.</li></ul></div>

Technical Operations Analyst

Hike Medical

<div>The Role 
As a Senior Machine Learning Engineer, you will bridge the gap between raw computer vision and physical, 3D-printed reality. You will own the pipeline that translates a smartphone video into a high-fidelity, CAD-compatible 3D reconstruction of human anatomy. 
What You&rsquo;ll Work On<ul><li>
3D Reconstruction &amp; Generation: Develop and deploy SOTA models for 3D human body part reconstruction (SDFs, NeRFs, Gaussian Splatting, or Mesh-based approaches) from videos.</li><li>
Deep Learning: Architect pipelines that handle non-Euclidean data to extract precise clinical measurements from noisy real-world scans.</li><li>
CAD Integration: Bridge the gap between AI inference and parametric CAD modeling for automated 3D printing preparation.</li><li>
Rapid Prototyping &amp; Continual Learning: You should be used to keeping up to date on latest advances and quickly implementing these advancements into our systems.</li><li>
Production ML: Work with our engineering team to deploy models into our AWS/serverless environment, ensuring clinical-grade accuracy at scale.</li></ul> 
Ideal Candidate Profile 
Technical Requirements<ul><li>
PhD in Machine Learning, Computer Graphics, Geometry Processing, or a related field, or equivalent experience.</li><li>
Deep expertise in 3D representations (Meshes, Point Clouds, Voxels, SDFs) and their respective computational tradeoffs.</li><li>
Proven track record in Generative Vision, 3D Reconstruction, or related topics.</li><li>
Strong proficiency in Python and PyTorch.</li><li>
Experience in CAD and computational geometry is a big plus.</li><li>
Experience with ML infrastructure in AWS (SageMaker, Lambda, etc) and model deployment is a plus.</li><li>
Experience in Biomedical AI or Biomechanics (e.g., modeling joint movement or tissue) is highly valued but not required.</li></ul> 
Helpful Characteristics<ul><li>
Fast Iteration Mindset: Willingness to move fast, iterate confidently in ambiguous tasks and deliver results from imprecise instructions or requirements.</li><li>
Product Minded: Our AI team communicates the art of the possible. Having a good eye for high-value product opportunities is a major plus.</li><li>
Polymathic: You can discuss loss functions with researchers, API latency with engineers, and 3D printing constraints with manufacturing.</li><li>
Strong Communicator: You clearly explain your ideas, challenge assumptions, and collaborate across engineering, AI, and product teams.</li><li>
Mission-Driven: You want to build technology that helps people walk without pain and revolutionize the future of orthopaedic care.</li><li>
Thrives in Collaboration: You push back, ask tough questions, and elevate the team.</li></ul></div>

Senior Machine Learning Engineer

Formlabs

<div>Do you want to change how the world creates?

At Formlabs, we're building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever before.

We're a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you're ready to shape the future of fabrication, come build it with us.

As a Manufacturing Test Manager, you'll lead the team that will design and develop the manufacturing test systems which bring electromechanical products from prototype to high-volume production. They work at the intersection of hardware and software, building test and calibration hardware and infrastructure, integrating tightly with our manufacturing and operations teams, and making production data visible and actionable across our global supply chain.

If you want to develop services that will be used to build thousands of printers and related products worldwide, then we want you as a Manufacturing Test Manager. 


The Job:
<ul>
<li>Lead the strategic architecture and deployment of hardware and software test infrastructure across global Contract Manufacturers to ensure reliable, repeatable production.</li>
<li>Architect and maintain a Python-based ecosystem of manufacturing, engineering, and support tools from initial design through release.</li>
<li>Oversee the development and validation of calibration and test stations, including all technical documentation and implementation specifications.</li>
<li>Partner with cross-functional engineering teams to define hardware testability requirements and establish rigorous calibration standards.</li>
<li>Apply data science techniques to production line data to extract actionable insights that improve yield and operational efficiency.</li>
<li>Manage and mentor a team of four manufacturing test software engineers, fostering their technical growth and subject matter expertise.</li>
<li>Streamline the development and deployment process to ensure high-quality software releases reach our factories worldwide without friction.</li>
</ul>
You:
<ul>
<li>You bring extensive experience developing complex electromechanical products, managing both internal development and external global partnerships.</li>
<li>You are a power user in Linux environments, comfortable using the command line and SSH to develop, debug, and deploy.</li>
<li>You possess a strong multidisciplinary foundation across embedded, electrical, and mechanical engineering.</li>
<li>You have a proven track record of managing complex projects and setting clear expectations across diverse, cross-functional teams.</li>
<li>You thrive in high-impact, small-team environments where personal interaction and rapid knowledge sharing are critical to making decisions.</li>
<li>You are passionate about software quality and have the technical discipline to maintain a robust, documented tools ecosystem.</li>
</ul>
Bonus Skills:
<ul>
<li>Experience working with manufacturing teams on complex products</li>
<li>Full stack web development, including Javascript/HTML, DevOps, Docker, and microservices</li>
<li>Experience with C or C++ on microcontrollers</li>
</ul>
Our Perks &amp; Benefits:
<ul>
<li>Robust equity program to build future wealth through RSUs</li>
<li>Comprehensive healthcare coverage (Medical, Dental, Vision)</li>
<li>Low cost fund options in our 401K and access to advisors</li>
<li>Generous paid Parental Leave (up to 16 weeks)</li>
<li>Tenure-based paid Sabbatical Leave (up to 6 weeks)</li>
<li>Flexible Out of Office Plan &ndash; Take time when you need it</li>
<li>Ample on-site parking &amp; pre-tax commuter benefits</li>
<li>Healthy on-site lunches, snacks, beverages, &amp; treats</li>
<li>Regular sponsored professional development opportunities</li>
<li>Many opt-in culture events across our diverse community</li>
<li>And of course&hellip; unlimited 3D prints</li>
</ul>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.</div>

Manufacturing Test Manager

Pragmatike

<div>
 
 Location:
 
 Cambridge, MA (Eastern Time / UTC -4)
 
 Relocation package available
 
 
 
 
 Start date:
 
 ASAP
 
 
 
 Languages:
 
 English (required)
 
 
 
 About The Role
 
 
 
 Pragmatike is hiring on behalf of a
 
 fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital
 
 , founded by MIT CSAIL researchers.
 
 
 We are seeking a
 
 Staff / Principal ML Ops Engineer
 
 to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization.
 
 
 You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are
 
 robust, efficient, automated, and production-grade
 
 . This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution.
 
 
 
 What Youll Do
 
 
 
 <ul>
 <li>
 Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
 </li>
 <li>
 Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.
 </li>
 <li>
 Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).
 </li>
 <li>
 Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).
 </li>
 <li>
 Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models.
 </li>
 <li>
 Collaborate with researchers to productionize models and accelerate training/inference pipelines.
 </li>
 <li>
 Establish ML Ops best practices, internal standards, and cross-team tooling.
 </li>
 <li>
 Mentor engineers and influence architectural direction across the entire AI platform.
 
 
 
 </li>
 </ul>
 
 What Were Looking For
 
 
 
 <ul>
 <li>
 Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected).
 </li>
 <li>
 Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).
 </li>
 <li>
 Proficiency with Python and familiarity with TypeScript or Go for platform integration.
 </li>
 <li>
 Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding)
 </li>
 <li>
 Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling).
 </li>
 <li>
 Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries.
 </li>
 <li>
 Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience deploying and operating LLMs and generative models in production at enterprise scale.
 </li>
 <li>
 Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.
 </li>
 <li>
 Experience optimizing GPU clusters, scheduling, and distributed training frameworks.
 </li>
 <li>
 Prior startup experience or comfort operating with ambiguity and high ownership.
 </li>
 <li>
 Experience working with data engineering, feature pipelines, or real-time ML systems.
 
 
 
 </li>
 </ul>
 
 Why This Role Will Pivot Your Career
 
 
 
 <ul>
 <li>
 Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
 </li>
 <li>
 Customer impact: Deploy AI solutions powering Fortune 500 clients.
 </li>
 <li>
 Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&amp;B CoreWeave).
 </li>
 <li>
 Funding &amp; growth: Oversubscribed seed round, next funding in 2026.
 </li>
 <li>
 Career growth &amp; influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
 </li>
 <li>
 Culture &amp; autonomy: Own critical systems while collaborating with world-class engineers.
 </li>
 <li>
 Aspirational impact: Solve AI performance challenges few engineers ever face.
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary &amp; equity options
 </li>
 <li>
 Sign-on bonus
 </li>
 <li>
 Health, Dental, and Vision
 </li>
 <li>
 401k
 
 
 
 </li>
 </ul>
 
 
 Pragmatike
 
 
 
 is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
 
</div>

Principal AI/ML Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
Development, Standards &amp; Secure Design<ul><li>
Lead development and enforcement of application and AI security policies, standards, and guardrails, embedding security-by-design across both traditional and AI-driven systems.</li><li>
Establish secure design patterns for AI agent frameworks, covering prompt management, tool invocation, memory handling, autonomy boundaries, and escalation controls.</li><li>
Promote organization-wide awareness of AI-specific risks such as model misuse, prompt injection, data leakage, and unsafe agent behavior.</li></ul>
AI &amp; Agentic Security Architecture<ul><li>
Serve as the principal SME for securing AI-enabled applications and agentic system architectures.</li><li>
Architect and review secure designs for systems leveraging LLMs/foundation models, autonomous and semi-autonomous agents, RAG pipelines, and tool‑using or decision‑making workflows.</li><li>
Define identity, authorization, data access, and observability controls specific to agentic environments while partnering closely with AI platform, product, and data teams to ensure responsible AI delivery.</li></ul>
Collaboration, Leadership &amp; Influence<ul><li>
Influence engineering and product teams to integrate secure engineering practices and align security with compliance, privacy, and responsible AI initiatives.</li><li>
Advise senior leadership on AI security implications, architectural decisions, and long-term strategy while shaping roadmaps that anticipate emerging AI threats and regulatory requirements.</li></ul>
Testing, Analysis &amp; Risk Management<ul><li>
Lead advanced security testing and risk assessments for AI-enabled systems, including threat modeling of agent workflows, abuse/misuse analysis, and secure design reviews of AI pipelines.</li><li>
Evaluate and guide adoption of new AI security tools, ensuring protections maintain confidentiality, integrity, availability, and responsible data use.</li></ul>
Operational Response &amp; Continuous Improvement<ul><li>
Provide senior technical leadership during incidents involving application or AI systems, guiding response strategies for misuse, data exposure, and autonomous failures.</li><li>
Translate operational learnings into improved security architecture, controls, and system resilience.</li></ul>
Mentorship, Innovation &amp; Strategy<ul><li>
Mentor senior and principal engineers to elevate security maturity across the organization.</li><li>
Contribute to research and evaluation of emerging AI security practices and play a key role in shaping the long-term application and AI security roadmap, advocating for security as a strategic accelerator for AI adoption.</li></ul>
Required Qualifications<ul><li>
10+ years of experience designing, building, and securing large-scale applications and platforms.</li><li>
7+ years of expertise in application security, including threat modeling, secure design, and vulnerability management.</li><li>
7+ years of programming experience in one or more languages such as Python, Java, JavaScript, C#, or Go.</li><li>
5+ years of experience with AI-enabled systems, including LLM-based applications or agentic workflows.</li><li>
5+ years of experience public cloud platforms (AWS, Azure, and/or GCP) and modern application architectures.</li><li>
3+ years of experience with containerized, serverless, and microservice-based architectures.</li></ul>
Preferred Qualifications<ul><li>
Hands-on experience securing AI agents, RAG pipelines, and tool-using LLM systems.</li><li>
Proven ability to lead complex security initiatives from concept through enterprise-scale adoption.</li><li>
Familiarity with AI governance, responsible AI principles, and emerging AI security standards.</li><li>
Experience integrating security controls into CI/CD pipelines for AI and application workloads.</li><li>
Strong understanding of compliance frameworks (PCI, HIPAA, NIST, HITRUST, CSA).</li><li>
Experience influencing security strategy beyond a single team, including enterprise or platform-level impact.</li><li>
Contributions to security research, open-source projects, or industry communities.</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul>
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/18/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Principal Application Security Engineer – AI & Agentic Systems

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