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agentic ai engineer-6

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agentic ai engineer 6

Realign

<div>Boston, Massachusetts 02108 Posted March 2nd, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Role - Agentic AI Engineer</div><div>
Location - Boston, MA (ONSITE)</div><div>
Experience &ndash; 5+</div><div>
Type - Full Time</div><div> 
Job Description</div><div>
Must Have Technical/Functional Skills</div><ul>
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Proficiency in Python and modern AI/ML frameworks, AWS
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</ul><div></div><div> 
Roles &amp; Responsibilities</div><ul>
Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.</ul><div></div><div> 
Key Responsibilities</div><ul>
Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
Instrument agents with CloudWatch metrics, spans, and traces; enable audits
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact</ul><div></div><div> 
Required Skills &amp; Experience</div><ul>
Strong problem-solving and strategic thinking abilities
Strong collaboration skills in research-driven environments
Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
Proficiency in Python and modern AI/ML frameworks
Proficiency in vector databases and embedding models for retrieval tasks
Experience with Data Connectors and API gateways that support seamless communication between systems
Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms</ul> 

Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Agentic AI Engineer-6

Vertex Pharmaceuticals

<div>Job Description
We are seeking a unique individual with a passion for data and AI technology who can help our team drive forward enterprise-scale AI adoption of our data &amp; AI platform. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical that users have data &ldquo;at their fingertips&rdquo;, with the patterns and technology to support AI adoption at scale.
As a Senior Principal AI Engineer in the Data Platforms team, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for our Data Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Vertex&rsquo;s enterprise platform for data &amp; AI. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering, governance, and product teams to act as a technical multiplier, enabling dozens of teams across Vertex to ship safely, consistently, and securely. To support enablement, you will advise and influence high-impact initiatives across the organization and lead a scaled enablement program to deliver AI on the Vertex Data Platform.
Key Duties &amp; Responsibilities:
<ul><li>Platform Management &ndash; Design, support, and continuously enhance Vertex&rsquo;s enterprise data and AI platform to enable scalable and efficient AI adoption across the organization.
</li></ul><ul><li>Design and Build &ndash; Design, build, and maintain production-grade AI starter kits to streamline the development and deployment of AI solutions.
</li></ul><ul><li>Reference Implementations &ndash; Deliver end-to-end reference implementations for AI workloads, providing teams with clear examples and best practices for leveraging the platform.
</li></ul><ul><li>Delivery Management &ndash; Partner with platform engineering, governance, and product teams to deliver data solutions that accelerate AI development and adoption, reducing time-to-value for new use cases.
</li></ul><ul><li>Solution Packaging &ndash; Package solutions as templated, internal tooling, and opinionated defaults that align with enterprise standards, ensuring consistency and ease of use across teams.
</li></ul><ul><li>Team Enablement &ndash; Act as a technical multiplier by providing reusable architecture patterns, starter kits, and developer-first abstractions to empower teams across Vertex to build and deploy AI solutions effectively.
</li></ul><ul><li>Technology Champion &ndash; Advocate for innovative, cloud-first approaches to data and AI platform development, driving forward Vertex&rsquo;s technological capabilities to support future growth.
</li></ul><ul><li>Innovation Champion &ndash; Identify and implement process enhancements and opportunities to improve Vertex&rsquo;s data and AI platform, ensuring alignment with best practices and industry standards.
</li></ul><ul><li>Enablement Champion &ndash; Lead scalable enablement programs across the Vertex Data Platform to drive consistency, quality, and reuse of AI platform patterns.
</li></ul>Knowledge and Skills:
<ul><li>Technical Expertise &ndash; Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required.
</li><li>Workflow Tools &ndash; Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.
</li><li>Product and Solution Management &ndash; Experience managing the creation and grooming of epics and themes for product and Solution roadmaps.
</li></ul><ul><li>Project Management &ndash; Demonstrated ability to work independently and manage multiple projects requiring collaboration across functional areas.
</li></ul><ul><li>Team Collaboration &ndash; Skillful and collaborative team player with the ability to develop rapport and credibility with stakeholders.
</li></ul><ul><li>Mentorship and Support &ndash; Proven ability and willingness to teach, engage, and support others as they learn new technologies and concepts.
</li></ul><ul><li>Adaptability and Problem-Solving &ndash; Enthusiasm for and ability to quickly learn new technologies and tackle complex challenges.
</li></ul><ul><li>Communication Skills &ndash; Strong presentation, verbal, and written communication skills to effectively convey technical concepts to diverse audiences.
</li></ul>Education and Experience:
<ul><li>Successful track record with 10+ years of experience working with data, advanced analytics, and 5+ years of developing cloud-based data products.
</li><li>Strong experience working with AI/ML and GenAI products
</li></ul><ul><li>5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
</li><li>Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience
</li></ul>Pay Range:
$188,000 - $282,000
Disclosure Statement:
<div><div><div><div><div><div><div><div>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</div></div></div></div></div></div></div></div>Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</div>

Senior Principal AI Platform Engineer, Data & AI Platform

Wiser Solutions

<div>Company Description 
Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We're on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally. 
Job Description 
LOCATION: This position can be based anywhere in Canada, with a preference for someone in the eastern or central time zone who can work with our teams in the US, Europe and India.
ABOUT THE ROLE
Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. This is a senior technical leadership role for someone who combines deep expertise in machine learning, data science, and production engineering with the business acumen to translate complex capabilities into customer value.
You will be the technical authority for AI at Wiser: defining architectural direction, representing our capabilities to customers and partners, and delivering production systems that drive measurable business outcomes. This role requires someone who operates fluidly between strategic planning and hands-on implementation, who can present to executives and debug production pipelines in the same week.
We're building an AI-native engineering culture at Wiser, one where AI tools and techniques are woven into how we work, not just what we build. We need a Principal AI Engineer who doesn't just deliver AI products but models AI-augmented ways of working and helps the broader engineering organization adopt them. If you believe AI is fundamentally transforming software development and you're already living that transformation daily, we want to talk.
What You Will Do
Strategic Leadership<ul><li>
Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership</li><li>
Represent Wiser's AI capabilities to customers, partners, and advisors&mdash;articulating our approach, roadmap, and differentiation</li><li>
Identify high-impact opportunities where AI can solve customer problems or create competitive advantage</li><li>
Establish technical standards, patterns, and best practices that influence engineering decisions across the organization</li></ul>
Technical Execution<ul><li>
Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models</li><li>
Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results</li><li>
Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques</li><li>
Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability</li></ul>
Cross-Functional Impact<ul><li>
Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs</li><li>
Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer</li><li>
Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture</li><li>
Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling</li><li>
Champion AI-native development practices across Wiser engineering&mdash;demonstrating how AI tools accelerate development, improve code quality, and change what's possible</li><li>
Help build an engineering culture where AI augmentation is the default, not the exception</li></ul> 

Qualifications 
<ul><li>
15+ years of experience in data science, machine learning, or ML engineering, with demonstrated progression into technical leadership</li><li>
Deep expertise in statistical methods, experimental design, and classical ML (not just LLM integration)</li><li>
Proven ability to architect and deliver production ML/AI systems at scale on cloud platforms (AWS strongly preferred)</li><li>
Strong software engineering fundamentals: you write production-quality code, not just notebooks</li><li>
Track record of organization-wide technical influence&mdash;setting standards, driving architectural decisions, mentoring engineers</li><li>
Experience communicating technical strategy and capabilities to non-technical stakeholders, including customers and executives</li><li>
Demonstrated ability to operate autonomously, identify high-impact problems, and drive initiatives without close direction</li><li>
Active, daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot) and a demonstrated belief that AI fundamentally changes how software gets built</li></ul>
Technical Depth Expected:<ul><li>
NLP and text analytics: embeddings, semantic similarity, classification, entity extraction, and information retrieval</li><li>
LLM integration patterns: prompt engineering, RAG architectures, agent frameworks, evaluation methods</li><li>
Data engineering: pipeline design, data quality, feature stores, and working with large-scale datasets</li><li>
MLOps: model deployment, monitoring, A/B testing infrastructure, and production observability</li><li>
Python ecosystem mastery; SQL fluency; comfort with distributed systems concepts</li></ul>
Preferred:<ul><li>
Experience with transformer architectures, fine-tuning, or training custom models</li><li>
Background in retail, e-commerce, or product data domains</li><li>
Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases</li><li>
Track record of introducing AI-augmented workflows to teams or organizations</li><li>
Opinions (and evidence) on how AI changes engineering practices, team structures, or development processes</li></ul>
What Success Looks Like
First 90 Days: Deep understanding of Wiser's data assets, current AI capabilities, and customer use cases. Identified 2-3 high-impact technical opportunities. Established credibility with the team through hands-on contribution and technical guidance.
First 6 Months: Delivered at least one significant AI capability to production with measurable customer impact. Documented and socialized architectural standards for AI development. Shaped our AI roadmap based on customer needs and technical opportunity.
Supervisory Responsibility: None 
Additional Information 
Other Duties
This position may require being on call rotation to address critical production application issues outside of normal working hours.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO STATEMENT - Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.
Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be USD$155,000 to $170,000, at the time of this posting.
Performance-based discretionary bonuses and variable pay plans are available for some positions.
If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469-4737. &quot;
#LI-Remote</div>

Principal Machine Learning Engineer

Eli Lilly

<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.
Location: San Diego, CA; San Francisco, CA; Louisville, CO; Indianapolis, IN; Boston, MA<h2 class="jobSectionHeader">
Reports to: Head of Architecture4Insight, Data Foundry</h2>
Overview:
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platforms is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.<h2 class="jobSectionHeader">
About Data Foundry:</h2>
Data Foundry is a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). Together, these pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities at scale.<h2 class="jobSectionHeader">
Position Summary:</h2>
The Senior Director, Cloud Platforms &amp; Agent Infrastructure will lead technical architecture and platform engineering for Data Foundry's cloud-native infrastructure. Reporting to the Head of Architecture4Insight, you will build scalable, secure, and agent-ready systems that enable both human scientists and autonomous AI agents to accelerate molecule discovery.
You will architect and operate the computational infrastructure, APIs, and workflow automation systems that power real-time data access, analytical method deployment, and agent-driven experimentation &mdash; partnering closely with the Frontier AI group to ensure autonomous agents can reliably access data, invoke methods, and control laboratory systems at scale. As the enabling foundation across all Data Foundry pillars, this role provides Methods4Insight with production-ready platforms for deploying analytical methods as agent-callable APIs; integrates with Automation &amp; Scale4Insight for real-time data capture from laboratory instruments; and partners with Preparedness4Insight to embed governance, metadata standards, and FAIR principles directly into platform design.
The ideal candidate brings proven experience building cloud-native platforms in life sciences, deep expertise in modern software architecture and DevOps, and a track record of translating scientific requirements into scalable technical solutions. Experience with AI agent workflows or MCP server infrastructure is highly valued.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Lead the design and operation of Data Foundry&rsquo;s cloud-native infrastructure (AWS, Azure, and/or GCP), including infrastructure-as-code, containerization, orchestration, and self-service platforms that empower discovery scientists to deploy tools and run analyses at scale.</li><li>
Partner closely with the Frontier AI group to build agent-ready infrastructure&mdash;including APIs with structured error handling, versioning, and audit trails; Model Context Protocol (MCP) servers; and real-time data streaming architectures&mdash;that enable autonomous AI agents to access data, invoke analytical methods, and control laboratory systems.</li><li>
Ensure Architecture4Insight serves as the enabling technical foundation across all Data Foundry pillars: deploying Methods4Insight&rsquo;s analytical models as production APIs, integrating Scale4Insight&rsquo;s real-time instrument data streams, and embedding Preparedness4Insight&rsquo;s governance and metadata standards into platform design.</li><li>
Design and implement workflow orchestration systems (Prefect, Airflow, Nextflow, WDL) that automate data pipelines, enable closed-loop experimentation, and provide reusable workflow templates for scientists.</li><li>
Build data access and integration layers providing unified interfaces to diverse data sources (LIMS, ELNs, instruments, databases), with caching, indexing, and query optimization for interactive analytics and agent queries.</li><li>
Lead platform engineering to build shared services, CI/CD automation, API gateways, and microservices architectures used across Data Foundry, establishing software engineering best practices and modern development standards.</li><li>
Collaborate with Tech@Lilly Product Engineering to define pathways for transitioning prototypes to enterprise-managed production systems, establish SLAs, and represent Data Foundry in enterprise architecture forums.</li><li>
Build, mentor, and help develop a high-performing platform engineering team of architects, software engineers, and DevOps specialists, fostering a culture of technical excellence and continuous learning.</li><li>
Develop a multi-year roadmap for cloud platforms and infrastructure aligned with Data Foundry strategy, monitoring emerging technologies and establishing KPIs for platform performance, cost efficiency, and scientist satisfaction.</li></ul><h2 class="jobSectionHeader">
Basic Requirements:</h2><ul><li>
MS/Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field, OR M.S. with equivalent experience in platform engineering and scientific software.</li><li>
6+ years of experience in cloud platform architecture, scientific software engineering, or research informatics, with at least 3 years in pharmaceutical, biotechnology, or life sciences industry.</li></ul><h2 class="jobSectionHeader">
Additional Preferences:</h2><ul><li>
Proven track record leading platform engineering or infrastructure teams (6&ndash;10+ professionals) delivering production systems.</li><li>
Deep expertise in cloud-native architecture on AWS, Azure, or GCP including infrastructure-as-code, containerization, orchestration, and security.</li><li>
Strong software engineering skills with experience in multiple programming languages and modern development practices.</li><li>
Experience building APIs, microservices, and integration layers for complex scientific or technical systems.</li><li>
Demonstrated ability to translate scientific requirements into technical architecture and scalable platform solutions.</li><li>
Excellent communication skills with ability to explain technical concepts to scientists, collaborate with IT organizations, and influence stakeholders.</li><li>
Experience with AI agent infrastructure, autonomous system platforms, or building APIs that AI/ML systems invoke programmatically.</li><li>
Hands-on experience with Model Context Protocol (MCP) servers, LangChain, or similar frameworks for AI agent tool integration.</li><li>
Deep understanding of workflow orchestration tools (Nextflow, Prefect, Airflow, WDL, Snakemake) and experience building automated scientific pipelines.</li><li>
Experience with genomics, proteomics, or bioinformatics platforms and understanding of scientific data characteristics.</li><li>
Familiarity with LIMS, ELN systems, and laboratory automation data integration patterns.</li><li>
Track record of founding or building platforms from ground up, not just maintaining existing systems.</li><li>
Experience with data governance, semantic modeling, ontologies, and metadata frameworks in scientific contexts.</li><li>
Strong mentorship capabilities with passion for developing engineering talent and building collaborative teams.</li><li>
Entrepreneurial mindset with ability to operate in ambiguous, fast-paced research environments.</li></ul>
Additional Information:
Physical Demands/Travel:
The physical demands of this job are consistent with an office environment. This position will require travel (~15&ndash;20%) to collaborate with teams across multiple Lilly sites and occasional external conferences.
Work Environment:
This position&rsquo;s work environment is primarily in an office with computational resources, with regular interaction with laboratory environments to understand data generation and system integration requirements.
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
$193,500 - $283,800
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>

Director - Cloud Platforms & Agent Infrastructure

Information Technology Senior Management Forum

<div><div>Posted Date
2/25/2026
</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.
Location: San Diego, CA; San Francisco, CA; Louisville, CO; Indianapolis, IN; Boston, MA
Reports to: Head of Architecture4Insight, Data Foundry
Overview:
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platforms is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.
About Data Foundry:
Data Foundry is a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). Together, these pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities at scale.
Position Summary:
The Senior Director, Cloud Platforms &amp; Agent Infrastructure will lead technical architecture and platform engineering for Data Foundry's cloud-native infrastructure. Reporting to the Head of Architecture4Insight, you will build scalable, secure, and agent-ready systems that enable both human scientists and autonomous AI agents to accelerate molecule discovery.
You will architect and operate the computational infrastructure, APIs, and workflow automation systems that power real-time data access, analytical method deployment, and agent-driven experimentation &mdash; partnering closely with the Frontier AI group to ensure autonomous agents can reliably access data, invoke methods, and control laboratory systems at scale. As the enabling foundation across all Data Foundry pillars, this role provides Methods4Insight with production-ready platforms for deploying analytical methods as agent-callable APIs; integrates with Automation &amp; Scale4Insight for real-time data capture from laboratory instruments; and partners with Preparedness4Insight to embed governance, metadata standards, and FAIR principles directly into platform design.
The ideal candidate brings proven experience building cloud-native platforms in life sciences, deep expertise in modern software architecture and DevOps, and a track record of translating scientific requirements into scalable technical solutions. Experience with AI agent workflows or MCP server infrastructure is highly valued.
Responsibilities:
<ul><li>Lead the design and operation of Data Foundry&rsquo;s cloud-native infrastructure (AWS, Azure, and/or GCP), including infrastructure-as-code, containerization, orchestration, and self-service platforms that empower discovery scientists to deploy tools and run analyses at scale.</li>
<li>Partner closely with the Frontier AI group to build agent-ready infrastructure&mdash;including APIs with structured error handling, versioning, and audit trails; Model Context Protocol (MCP) servers; and real-time data streaming architectures&mdash;that enable autonomous AI agents to access data, invoke analytical methods, and control laboratory systems.</li>
<li>Ensure Architecture4Insight serves as the enabling technical foundation across all Data Foundry pillars: deploying Methods4Insight&rsquo;s analytical models as production APIs, integrating Scale4Insight&rsquo;s real-time instrument data streams, and embedding Preparedness4Insight&rsquo;s governance and metadata standards into platform design.</li>
<li>Design and implement workflow orchestration systems (Prefect, Airflow, Nextflow, WDL) that automate data pipelines, enable closed-loop experimentation, and provide reusable workflow templates for scientists.</li>
<li>Build data access and integration layers providing unified interfaces to diverse data sources (LIMS, ELNs, instruments, databases), with caching, indexing, and query optimization for interactive analytics and agent queries.</li>
<li>Lead platform engineering to build shared services, CI/CD automation, API gateways, and microservices architectures used across Data Foundry, establishing software engineering best practices and modern development standards.</li>
<li>Collaborate with Tech@Lilly Product Engineering to define pathways for transitioning prototypes to enterprise-managed production systems, establish SLAs, and represent Data Foundry in enterprise architecture forums.</li>
<li>Build, mentor, and help develop a high-performing platform engineering team of architects, software engineers, and DevOps specialists, fostering a culture of technical excellence and continuous learning.</li>
<li>Develop a multi-year roadmap for cloud platforms and infrastructure aligned with Data Foundry strategy, monitoring emerging technologies and establishing KPIs for platform performance, cost efficiency, and scientist satisfaction.</li>
</ul>
Basic Requirements:
<ul><li>MS/Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field, OR M.S. with equivalent experience in platform engineering and scientific software.</li>
<li>6+ years of experience in cloud platform architecture, scientific software engineering, or research informatics, with at least 3 years in pharmaceutical, biotechnology, or life sciences industry.</li>
</ul>
Additional Preferences:
<ul><li>Proven track record leading platform engineering or infrastructure teams (6&ndash;10+ professionals) delivering production systems.</li>
<li>Deep expertise in cloud-native architecture on AWS, Azure, or GCP including infrastructure-as-code, containerization, orchestration, and security.</li>
<li>Strong software engineering skills with experience in multiple programming languages and modern development practices.</li>
<li>Experience building APIs, microservices, and integration layers for complex scientific or technical systems.</li>
<li>Demonstrated ability to translate scientific requirements into technical architecture and scalable platform solutions.</li>
<li>Excellent communication skills with ability to explain technical concepts to scientists, collaborate with IT organizations, and influence stakeholders.</li>
<li>Experience with AI agent infrastructure, autonomous system platforms, or building APIs that AI/ML systems invoke programmatically.</li>
<li>Hands-on experience with Model Context Protocol (MCP) servers, LangChain, or similar frameworks for AI agent tool integration.</li>
<li>Deep understanding of workflow orchestration tools (Nextflow, Prefect, Airflow, WDL, Snakemake) and experience building automated scientific pipelines.</li>
<li>Experience with genomics, proteomics, or bioinformatics platforms and understanding of scientific data characteristics.</li>
<li>Familiarity with LIMS, ELN systems, and laboratory automation data integration patterns.</li>
<li>Track record of founding or building platforms from ground up, not just maintaining existing systems.</li>
<li>Experience with data governance, semantic modeling, ontologies, and metadata frameworks in scientific contexts.</li>
<li>Strong mentorship capabilities with passion for developing engineering talent and building collaborative teams.</li>
<li>Entrepreneurial mindset with ability to operate in ambiguous, fast-paced research environments.</li>
</ul>
Additional Information:
Physical Demands/Travel:
The physical demands of this job are consistent with an office environment. This position will require travel (~15&ndash;20%) to collaborate with teams across multiple Lilly sites and occasional external conferences.
Work Environment:
This position&rsquo;s work environment is primarily in an office with computational resources, with regular interaction with laboratory environments to understand data generation and system integration requirements.
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
$193,500 - $283,800
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
193,500.00 - 283,800.00 Annual</div></div><div></div>

Chewy

<div>
 
 Job Description
 
 
 
 
 Our Opportunity:
 
 
 
 Chewy&rsquo;s AI &amp; Data organization is seeking a
 
 Data Engineer II
 
 to design and build reliable, high-performance data pipelines that power analytics, machine learning, and decision-making across the company. EDS provides the unified, well-governed data platform that enables every Chewy team&mdash;from Customer Care to Finance to Marketing&mdash;to operate with speed and confidence.
 
 
 As a Data Engineer II, you&rsquo;ll operate as an
 
 independent owner
 
 &mdash;designing, implementing, and maintaining production-grade data workflows. You&rsquo;ll collaborate across AI, data science, and engineering teams to ensure our data is accurate, timely, and ready for use in analytics and AI. You&rsquo;ll balance problem solving, optimization, and innovation as you scale our Snowflake and dbt Cloud environments, while exploring how emerging AI tools can accelerate data engineering.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain batch and streaming pipelines across Snowflake, AWS, and Kafka.
 </li>
 <li>
 Develop dbt Cloud models to standardize business metrics, enforce testing, and improve lineage visibility.
 </li>
 <li>
 Integrate data from multiple sources&mdash;including Kafka, APIs, S3, and internal systems&mdash;into unified datasets.
 </li>
 <li>
 Implement monitoring and alerting for data freshness, quality, and reliability.
 </li>
 <li>
 Collaborate with analysts, data scientists, and product partners to translate business requirements into scalable data solutions.
 </li>
 <li>
 Optimize pipelines for performance, scalability, and cost efficiency.
 </li>
 <li>
 Write clean, test-covered code and unit tests; apply secure coding principles.
 </li>
 <li>
 Ensure correct application of data validation and cleansing processes to all sources.
 </li>
 <li>
 Participate in design reviews, code reviews, and documentation to drive best practices.
 </li>
 <li>
 Contribute to AI-driven modernization initiatives, such as LLM-assisted data quality checks and automation frameworks.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in data engineering or a related role.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Hands-on experience with Snowflake and dbt Cloud for modeling and orchestration.
 </li>
 <li>
 Familiarity with Kafka or other streaming systems.
 </li>
 <li>
 Hands-on Terraform proficiency to build and modify AWS/Snowflake data infrastructure&mdash;author simple modules, manage remote state/workspaces, and ship changes via CI/CD with rollback.
 </li>
 <li>
 Understanding of ETL/ELT patterns, data modeling, and workflow orchestration.
 </li>
 <li>
 Awareness of data governance, observability, and testing best practices.
 </li>
 <li>
 Curiosity about AI-assisted engineering and a mindset of continuous experimentation.
 </li>
 <li>
 Clear, proactive communication and strong cross-functional collaboration skills.
 </li>
 <li>
 Understanding of Agile methodology, GitHub and CI/CD pipelines
 
 
 </li>
 </ul>
 
 Why You&rsquo;ll Love This Role
 
 
 
 <ul>
 <li>
 Own the design and delivery of data systems that directly enable AI and analytics at Chewy scale.
 </li>
 <li>
 Collaborate with engineers and scientists on data products that improve operational excellence and customer experience.
 </li>
 <li>
 Work with modern tools and cutting-edge AI capabilities in a fast-moving environment.
 </li>
 <li>
 Grow into technical leadership by taking ownership of impactful, cross-functional pipelines.
 
 
 </li>
 </ul>
 The base salary range for this role is $100,000 - $176,000.
 
 
 <ul>
 <li>
 The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
 
 
 </li>
 </ul>
 We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
 
 
 Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
 
 
 Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
 
 
 To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
</div>

Data Engineer II

BV Teck

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. 
We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we&rsquo;re looking for a skilled LLM Platform Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. 
 
Company: Bright Vision Technologies ( www.bvteck.com ) 
Job Title: LLM Platform Engineer 
Onsite/Hybrid: Remote 
FULL-TIME ROLE WITH BRIGHT VISION 
 
Job Description: 
Environment: 
Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment &amp; Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies 
 
BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. 
 
For every role, a coding test is required, so apply only if you are confident and technically strong. 
We prefer at least 3 to 5 years real time experience. 
 
If you are an LLM Platform Engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resume immediately to harry@bvteck.com. 
 
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. 
Position offered by &ldquo;No Fee agency.&rdquo; 
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
qzQE1tscXn</div>

LLM Platform Engineer

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