solutions engineer

Nakupuna Companies

<div><div>Nakupuna Consulting seeks an AI Solutions Engineer for an Amazon Web Services (AWS) environment with strong technical expertise in constructing, developing and extending Retrieval-Augmented Generation (RAG) models. This individual will help the Defense POW/MIA Accounting Agency (DPAA) imagine and scope AI/ML use cases that will create the greatest value for the agency, define paths to navigate technical challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The AI Engineer will design models using data from DPAA&rsquo;s Mission Application Suite &ndash; like military personnel case files and excavation site reports &ndash; to further identify missing personnel from previous conflicts. The position collaborates closely with customers and mission partners to develop innovative solutions that enhance DPAA&rsquo;s global efforts to locate, recover, and identify missing personnel through cutting-edge technologies and cross-functional teamwork. The AI Engineer will also collaborate with contractors and government IT professionals to accomplish system architecture and sustainment objectives. 
</div> 
The following reflects management&rsquo;s definition of essential functions for this job but does not restrict the tasks that may be assigned.
<div>Technical Responsibilities:</div><ul><li>
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions addressing real-world challenges.</li><li>
Engage directly with customers to understand their business problems and assist in the implementation of generative AI solutions.</li><li>
Brief customers and guide them on adoption strategies and production deployment pathways.</li><li>
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive audiences.</li><li>
Provide customer and market feedback to product and engineering teams to influence product direction and roadmap.</li><li>
Implement data pipelines, vectorization methods, and API integrations using Python.</li><li>
Contribute to existing AI-enabled full-stack web projects built in Python and React.</li><li>
Utilize AWS AI/ML services such as Amazon SageMaker, Bedrock, and Comprehend for model development, fine-tuning, and orchestration.</li><li>
Manage structured and unstructured data using AWS storage and retrieval solutions like Amazon S3, OpenSearch, and Aurora.</li><li>
Apply vector database technologies such as FAISS, Pinecone, or OpenSearch vector search for document retrieval and similarity search.</li><li>
Integrate LLM APIs and apply prompt engineering techniques to connect retrieval systems with generative models.</li><li>
Demonstrate basic DevOps and security awareness on AWS, including IAM roles, networking (VPCs), and data encryption practices.</li><li>
Use containerization and orchestration tools such as Docker and AWS Lambda/ECS for scalable RAG (Retrieval-Augmented Generation) pipeline deployment.</li><li>
Utilize AWS Lambda to run responses triggered by alerts from integrated services.</li><li>
Support security and operations using AWS-native technologies, ensuring compliance with DoD security requirements.</li><li>
Evaluate and propose new AWS technologies and modernization paths to enhance operational efficiency and security with AI solutions.</li><li>
Develop and maintain Standard Operating Procedures (SOPs), technical documentation, and reports on system operations.</li><li>
Adhere to Agile program best practices such as participation and management of team scrums and sprint plannings.</li><li>
Document and track all work using the program approved ticketing system.</li></ul><div> 
Skills/Qualifications:</div><ul><li>
Strong technical expertise in AWS GovCloud and Microsoft Windows Server environments.</li><li>
Excellent technical, organizational, decision-making, and analytical skills.</li><li>
Strong Python experience including object-oriented development.</li><li>
Experience with React or other frontend JavaScript web frameworks is a plus.</li><li>
Strong communication skills with the ability to engage both technical staff and executive stakeholders.</li><li>
Ability to enforce program best practices (ticketing, documentation, reporting).</li><li>
Familiarity with DoD IT environments, compliance requirements, and cybersecurity standards.</li><li>
Ability to adapt to a dynamic, fast-paced environment and support teams across geographically dispersed locations.</li></ul><div>
Education/Experience:</div><ul><li>
Bachelor&rsquo;s degree in a STEM field from an accredited institution, or equivalent years of related work or military experience.</li><li>
Minimum of 3 years of relevant professional experience, including systems administration and cloud operations.</li><li>
Experience supporting DoD IT environments preferred.</li><li>
Experience using Agile methodologies and ticketing systems such as JIRA is desirable.</li></ul><div>
Required Certification(s):</div><div>
Must have an active certification from the bullet list below</div><ul><li>
Active IAT II Certification which may include CompTIA Advanced Security Practitioner (CASP+), CompTIA Cybersecurity Analyst (CySA+), Certified Information Systems Security Professional (CISSP), or CompTIA Security+.</li><li>
AWS certification (e.g., AWS Certified AI Practitioner, AWS Certified Cloud Practitioner, AWS SysOps Administrator Associate, AWS Solutions Architect Associate)</li></ul><div>
Clearance Requirements: Must currently have at least a Secret level security clearance in Hawaii and TS/SCI in Arlington, Virginia. Must be a U.S. citizen.</div><div></div><div> 
Work Location:</div><ul><li>
Position may be based in either Arlington, VA or Honolulu, HI.</li><li>
Preferred: on-site three (3) days per week. Will consider fewer days on-site for the correct candidate.</li><li>
Occasional travel (1&ndash;2 weeks per year) within the Continental U.S. or to Hawaii may be required.</li><li>
This position may require working outside of normal business hours, including evenings and weekends, to meet operational or project demands.</li></ul><div>
Physical Requirements: The ideal candidate must at a minimum be able to meet the following physical requirements of the job with or without reasonable accommodation:</div><ul><li>
Ability to perform repetitive motions with the hands, wrists, and fingers.</li><li>
Ability to engage in and follow audible communications in emergency situations.</li><li>
Ability to sit for prolonged periods at a desk and working on a computer.</li></ul><div></div><div> 
The Nakupuna Companies use a market-based compensation strategy to ensure that our employees are compensated within applicable market ranges commensurate with multiple factors, including but not limited to the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, organizational requirements, and position location. The projected compensation range for this position is $115,000.00 to $145,000.00 (annualized USD). The salary range displayed represents the typical salary range for this position and is just one component of Nakupuna Companies total compensation package for employees.</div></div>

AI Solutions Engineer

Buildertrend

<div>Compensation: $80,000-$100,000 + bonus opportunity (OTE of $160,000 or more / uncapped) 
Location: United States - Remote or Omaha, NE - Hybrid 
 
The job: 
As a Sales Solutions Engineer at Buildertrend, you&rsquo;ll help construction professionals solve real business challenges with technology that keeps projects moving and teams connected. You&rsquo;ll partner with sales teams and prospective customers to understand how builders work today, then show them a smarter, more efficient way to manage projects, communication and profitability. Your ability to connect technical expertise with real-world construction workflows will directly influence customer growth and long-term success. In your first year, success means becoming a trusted advisor who helps customers confidently adopt solutions that improve how they build. 
What you will do:<ul><li>
Partner with sales team members to identify customer needs and recommend software solutions that align with construction workflows and business goals.</li><li>
Lead product demonstrations that clearly show how Buildertrend helps contractors improve communication, efficiency and profitability.</li><li>
Consult with prospective customers on software configuration, integrations and customization options to support their day-to-day operations.</li><li>
Build strong relationships with customers by serving as a trusted technical resource throughout the sales process.</li><li>
Collaborate with Product, Marketing and Customer Success teams to share customer feedback and influence future enhancements.</li><li>
Maintain accurate pipeline activity, customer interactions and forecasting details within Salesforce.</li><li>
Facilitate biweekly product roundtables and stay current on software updates, construction technology trends and emerging tools.</li><li>
Embrace using AI as a tool to enhance your work, while remaining open to learning, applying critical thinking, and owning the quality of your final work.</li></ul>
Who you are and what you need:<ul><li>
5+ years of experience in software sales engineering, sales support, or consultative solution selling required.</li><li>
Bachelor's degree preferred.</li><li>
Construction industry experience and/or experience working in a B2B SaaS environment is a plus.</li><li>
Strong understanding of construction industry workflows, operational challenges, and software solutions preferred.</li><li>
Proven ability to communicate technical concepts clearly to both technical and nontechnical audiences and deliver tailored software demonstrations to prospective customers.</li><li>
Proficiency with CRM platforms, such as Salesforce, along with strong problem-solving and customer relationship management skills.</li><li>
Excellent communication, presentation, and relationship-building abilities, with a customer-focused approach to solution selling.</li></ul>
We are giving you:
<ul><li>Exceptional health packages, including medical, dental, and vision coverage, plus life insurance and short- and long-term disability benefits</li><li>
A 401(k) plan with Buildertrend matching contributions to help you plan for the future</li><li>
Generous paid time off, 11 paid holidays, plus personal days to make sure you have time to recharge</li><li>
Parental leave and paid sabbaticals to support you during life&rsquo;s big moments</li><li>
Volunteer time off &ndash; because giving back matters</li><li>
Wellness program and onsite fitness center to keep you feeling your best</li><li>
Opportunities for hybrid or remote work to give you the flexibility you need</li><li>
Technology reimbursement to help cover costs for the tech you need to do your job from home</li><li>
Free daily lunches when you're at our HQ office, plus monthly events to connect with your team</li></ul>
Who we are: 
Great builders don&rsquo;t just manage projects &ndash; they run successful businesses. That&rsquo;s where Buildertrend comes in. As the leading residential construction management platform, we give contractors the power to control their financials, schedules, team workflows and client relationships &ndash; all in one system. No more juggling disconnected tools or guessing on profitability. With nearly two decades of industry expertise, Buildertrend helps builders work smarter, scale faster and stay ahead of the competition. If you want to learn more about us, check out: https://buildertrend.com/about/ 
Working at Buildertrend: 
At Buildertrend, we fully recognize that we all work so we can live better lives&mdash;we appreciate and respect that this is a job and not your whole life. What makes Buildertrend so special is a commitment to ensuring you can have the best job, work with the best people, and live your best life outside of work. Our goal is to create a culture where everyone can make an impact on our customers, communities, and each other. In short: We want you to be who you are, love what you do, and build your best life. 
Buildertrend Solutions, Inc. is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race, including natural or protective hairstyle, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy and pregnancy-related conditions, childbirth, breastfeeding, sexual orientation, gender identity, gender expression, sexual orientation, reproductive decision-making), age, physical or mental disability, veteran or military status, genetic information, citizenship, marital status, or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants. 
 Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A &ldquo;reasonable accommodation&rdquo; is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Buildertrend Solutions, Inc. Please inform the company's personnel representative if you need assistance completing this application or to otherwise participate in the application process. To see the complete list of Essential Job Functions, visit https://buildertrend.com/essential-job-functions-notice/
#LI-REMOTE</div>

Sales Solutions Engineer

Cisco

Meet the team
 
Splunk, a Cisco company, is building a resilient digital world with an end-to-end platform designed for hybrid, multi-cloud environments. We approach our work with kindness, valuing the unique talents, passion, and joy that each team member brings to our collaborative culture. Our team is dedicated to helping organizations reach their best by solving complex business challenges at scale. We foster an environment of inclusiveness, disruption, and fun, ensuring that every member feels supported as they reach new heights.
 
YOUR IMPACT
 
As the Leader of Solution Engineering, you will lead a regional team of Solutions Engineers supporting customers across the Gulf and North Africa and Levant (NALE) regions. You will set the technical direction for the team, align technical resources with business priorities, and partner closely with Sales, Product, and Customer Success leaders to support customer outcomes and help the region achieve its business objectives.
 
What you will do
 
Lead, mentor, and develop a team of Splunk SEs. You will build an environment where team members can develop their technical expertise, collaborate, and deliver consistent customer experiences.
 Build trusted relationships with customers by leading technical strategy at both the regional and account levels, ensuring solutions align with business and technical requirements. Working Sales leadership, Product, and partners, you will support strategic opportunities and help customers evaluate and adopt Splunk solutions.
 Provide technical leadership across the Splunk Security and Observability portfolio. You will guide solution design, customer architecture discussions, workshops, demonstrations, and proof-of-concepts that address customer requirements and demonstrate business value.
 Establish consistent technical sales practices across the region, lead team objectives and resource allocation, supervise performance against business goals, and serve as the senior technical escalation point for complex customer engagements.
 
MINIMUM QUALIFICATIONS
 
If your background is a close match for this role, we encourage you to apply:
 
<ul>
<li>5+ years of experience leading technical sales or Solution Engineering teams supporting cybersecurity or observability solutions.</li>
<li>5+ years of experience working with Splunk Security (Enterprise Security, SOAR, UEBA) and Observability (Splunk Observability Cloud, ITSI, AppDynamics).</li>
<li>Experience in security operations, threat detection, incident response, and digital observability.</li>
<li>Experience working with customers or leading technical teams in the Gulf and/or NALE regions.</li>
<li>Expertise in IT Operations, Security Operations, and DevOps practices.</li>
</ul>
PREFERRED QUALIFICATIONS
 
<ul>
<li>Experience designing, deploying, or integrating the Splunk platform.</li>
<li>Familiarity with cloud-native technologies and AI/ML applications for observability and cybersecurity.</li>
<li>Experience building collaborative, inclusive teams passionate about customer outcomes.</li>
<li>Strong communication, mentor, and stakeholder leadership skills.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Leader, Solutions Engineer

Stefanini North America and APAC

We are looking for a Remote Data Center Solutions Engineer for a company in New York! Job Details:  <ul><li>Full-Time  role</li><li>Remote but requires client visits </li><li>Office Location: 1 Pennsylvania Plaza, New York, NY 10119</li><li>Payrate negotiable upon interview </li></ul>Job Description:  The Solutions Engineer - Enterprise collaborates with account teams to assess customer data center environments and design tailored infrastructure solutions that align with business objectives. This role involves building technical relationships with OEMs, providing training to sales teams and customers, managing the solution practice pipeline, and engaging with various client contacts to identify technology opportunities across Data Center, Cloud, Network, Security, and Services spaces. This position is a remote position required to reside in the surrounding New Jersey, New York City, or Philadelphia to support business needs as determined by client management. <ul><li>Collaborate with account teams to evaluate and understand customer data center environments and infrastructure technologies. Design and propose tailored infrastructure solutions that align with customers' business objectives. </li><li>Build and maintain technical relationships with OEMs and strategic partners and stay updated on the latest product information. </li><li>Provide product training and technical education to the sales team and customers. </li><li>Act as a trusted IT advisor for customers, partnering with Field Account Executives. </li><li>Manage the solution practice pipeline by developing strategies for top prospects and acquiring new business. </li><li>Identify and uncover technology opportunities within Data Center, Cloud, Network, Security, Collaboration, and Services spaces. </li><li>Develop solutions that fit customers' needs and budgets through strategic planning. </li><li>Engage with multiple layers of client contacts, including CIOs, IT Directors, and CTOs, to ensure comprehensive account management. </li><li>Educate and develop sales teams on technical selling, product training, services, and technology trends. </li></ul>Behaviors and Competencies  <ul><li>Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium. </li><li>Negotiation: Can proactively seek out negotiation opportunities, initiate discussions, and contribute to conflict resolution. </li><li>Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others. </li><li>Detail-Oriented: Can manage complex tasks or projects, identifying errors or inconsistencies, and ensuring all details are addressed, necessary corrections are made, and quality is maintained. </li><li>Organization: Can effectively coordinate multiple projects, delegate tasks where appropriate, and employ advanced organizational tools and methods. </li><li>Follow-Up: Can proactively identify tasks that require follow-up, initiate necessary actions, and contribute to efficient workflow management. </li><li>Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions. </li><li>Relationship Building: Can proactively seek out opportunities to expand networks, initiate collaborations, and contribute to team cohesion. </li><li>Documentation: Can develop comprehensive documentation standards, implement best practices, and ensure documentation supports operational efficiency. </li><li>Results Orientation: Can set challenging goals for their team and lead them to achieve these goals, demonstrating a consistent track record of results. </li></ul>Skill Level Requirements  <ul><li>Experience working in complex Data Center sales opportunities - Intermediate </li><li>Ability to design data center infrastructures that include hybrid cloud, hyper converged, software-defined data center (SDDC), infrastructure/platform as a service, automation, containerization, and Data Center Management Platforms - Intermediate </li><li>Strong knowledge of Virtualization technologies, Hypervisors, server virtualization, Software Defined Data Center, containerization, and automation - Intermediate </li></ul>Ability to effectively communicate and sell complex technical products or services by understanding customer needs, articulating the value proposition, and providing technical expertise to support the sales process - Intermediate <ul><li>Expertise in mainstream technologies to include: Dell Technologies, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, Nutanix - Intermediate </li><li>Experience with Disaster Recovery, Business Continuity and High Availability Solutions (backup/recovery, data protection, mirroring, active/standby, active/active, clustering) - Intermediate </li></ul>Other Requirements  <ul><li>Completed Bachelor's Degree or relevant work experience required </li><li>3-5 years of experience in a similar role </li><li>Ability to travel to Corporate, Partner, and Customer Events </li><li>Advanced certification in one or more of the following mainstream technologies preferred: </li></ul>Dell Technologies, Cisco, VMware, NetApp, Pure Storage, HPE, Azure, AWS, Commvault, Rubrik, Cohesity, Veeam, NutanixPay: $115,000.00 - $180,000.00 per yearApplication Question(s):<ul><li>Are you willing to do client visits within the NY/NJ area as needed?</li></ul>Experience:<ul><li>Data Center Solutions Engineering: 4 years (Required)</li><li>Data Center Design: 4 years (Required)</li><li>Data Center Pre-sales: 4 years (Required)</li></ul>Work Location: Remote

Data Center Solutions Engineer

Palm Hills Developments

<div>
 
 
 Role Summary
 
 
 
 Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
 
 Reporting to the Director of Project Controls
 
 and working in close partnership with Group IT, you will spearhead the end‑to‑end strategy, design and roll‑out of AI solutions that drive measurable value for both operational teams and executive leadership.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Identify and priorities high‑impact AI use cases for various functions and departments.
 </li>
 <li>
 Craft a phased AI adoption road‑map aligned with corporate KPIs and governance.
 </li>
 <li>
 Translate business needs into technical designs covering data pipelines, model selection (LLMs, vector databases, fine‑tuning), prompt‑engineering and agent orchestration.
 </li>
 <li>
 Define architecture standards in partnership with IT (cloud vs. on‑prem, security).
 </li>
 <li>
 Lead proofs‑of‑concept and pilots; turn successful pilots into enterprise‑grade products.
 </li>
 <li>
 Coordinate cross‑functional squads (Project Controls, IT, Sales, Legal) and external vendors/consultants.
 </li>
 <li>
 Establish data‑privacy, model‑risk and ethical‑AI controls.
 </li>
 <li>
 Develop training programmes and user documentation; champion adoption across multiple business units.
 </li>
 <li>
 Define success metrics (accuracy, cycle‑time, cost savings, user satisfaction); continuously optimize models and workflows.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 Education:
 
 BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.
 
 
 
 Experience:
 
 1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.
 
 
 
 Technical Toolkit:
 
 
 
 Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.
 
 
 Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)
 
 
 Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.
 
 
 Applied machine learning techniques on multiple projects
 
 
 
 Soft Skills
 
 : Stakeholder engagement up to C‑suite, vendor management, presentation &amp; training capability; fluent English and Arabic.
 
 
 
 Desirable Skills:
 
 
 
 &bull;Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.
 
 
 &bull;AI‑related credentials
 
 
 
 Location:
 
 
 Head Office, 6th of October City, Giza, Egypt
 
 
</div>

Intel Corporation

<div><h1 class="jobSectionHeader">Job Details:
</h1><h2 class="jobSectionHeader">Job Description:
</h2><div>Join an enthusiastic team of engineers in Intel's Networking Solutions Group (NSG) focused on enabling next generation of programmable Infrastructure Processing Units (IPUs) with our lead customers as part of the Customer Experience Support (CES) organization. Intel brings decades of leadership in networking, virtualization, packet processing, storage, and security to a new class of IPU products that accelerate host networking functions and support emerging use cases such as security, virtualization, storage, load balancing, and data path optimization.
 
 
Working closely with major cloud service providers and Intel development teams, you will help deliver customized IPU based solutions that enhance isolation, security, performance, storage and system management for our customers. A big part of the day-to-day job is to help customers manage feature request processes, enable solutions, and debug issues.
 
 
Projects and responsibilities include but are not limited to:
 
<ul><li>Gain our customers' trust, understand their needs, and build POCs to meet them. Work closely with internal and external partners to understand use cases and requirements.
</li><li>Be the go-to technical resource for customers building complex Datacenters, AI infrastructure as well as helping them understand performance characteristics for solutions.
</li><li>Prepare and deliver technical content to customers including presentations, workshops, etc.
</li><li>Contribute across the full IPU lifecycle, including board and platform bring up, low-level device initialization, OS driver and kernel configuration, system management, feature enablement, use case testing, debugging, and verification.
</li><li>Defines systems implementation and integration solutions and plans to ensure optimum performance and reliability across hardware, firmware and software with network, storage, and AI workloads.
</li></ul></div><h2 class="jobSectionHeader">Qualifications:
</h2><div>The successful candidate must demonstrate the following:
 
<ul><li>Strong verbal and written communication skills, with the skills to work independently across diverse stakeholders including external customers and manage priorities. 
</li></ul></div><div>Minimum Qualifications:
 
<ul><li>Bachelor's or master's in electrical or computer engineering, computer science or related field.
</li></ul>4+ years of combined experience in the following:
 
<ul><li>Networking fundamentals-including NICs, hardware accelerators, switching and/or modern data center protocols.
</li><li>System software stacks, especially software-hardware interactions across platform firmware, device drivers, the Linux kernel, and user space application performance.
</li><li>Customer facing systems engineering and debug experience of platform, computing, memory, and network components.
</li></ul> 
Preferred Qualifications:
 
<ul><li>Knowledge of Ethernet products and ecosystems for enterprise and data centers, with experience collaborating with Cloud Service Providers and familiarity with data center workloads, RDMA, collectives, and AI benchmarking.
</li><li>NIC hardware and software stacks, including configuration, testing, and/or troubleshooting.
</li><li>Experience with software build and development tools and systems such as GCC, Git, GitHub, RPM, Make files, Shell Scripting, Docker, and Jenkins. 
</li></ul></div><h2 class="jobSectionHeader">Job Type:
</h2>Experienced Hire
<h2 class="jobSectionHeader">Shift:
</h2>Shift 1 (United States of America)
<h2 class="jobSectionHeader">Primary Location:
</h2>US, Oregon, Hillsboro
<h2 class="jobSectionHeader">Additional Locations:
</h2>US, California, Santa Clara
<h2 class="jobSectionHeader">Posting Statement:
</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader">Position of Trust
</h2>N/A
<h2 class="jobSectionHeader">Benefits
</h2>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel . 
Annual Salary Range for jobs which could be performed in the US: $122,440.00-172,860.00 USD 
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process. 
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
<ul><li></li></ul>ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.</div>

Systems and Solutions Engineer

Eli Lilly

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
 
Organization Overview: 
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research & Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities — from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics. 
  
 DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust & Sustainable, and Patient Experience + Outcomes. 
  
 The Digital Transformation and Data Science team within DDCS serves as a key foundation for DDCS's digital transformation efforts. The team helps make data work more effectively for the organization by turning information into faster insights, stronger decision-making, improved ways of working, and practical AI solutions embedded in everyday DDCS workflows. 
 
Position Overview:  
 The Senior Advisor, Agentic AI Solutions Engineer will partner with DDCS business functions to translate machine learning, statistics, scientific computing, and AI concepts into practical tools that improve speed, productivity, and impact across the organization. Operating within the Digital Transformation and Data Science team, this role will design, build, and deploy AI-enabled workflows, agentic scientific systems, knowledge extraction tools, and scientific ML capabilities that help colleagues turn complex technical information into actionable decisions. Fundamentally, you are energized by extremely large, complicated, real-world challenges and are excited about full-stack development developing and utilizing modern AI tools to produce genuine, trusted results.
 
Key Responsibilities : 
AI Solutions Engineering & Practical Tool Delivery 
 
<ul>
<li>Partner with business functions across DDCS to identify, prioritize, and scope high-value opportunities where AI, machine learning, and automation can improve speed, productivity, insight generation, and decision quality.</li>
<li>Translate stakeholder needs into practical AI tools, technical designs, acceptance criteria, and delivery plans that fit real scientific, engineering, and operational workflows.</li>
<li>Develop AI-enabled applications, services, and workflows that integrate models, data sources, document collections, and user-facing interfaces for decision support and workflow automation.</li>
</ul>
Agentic Scientific AI Systems & Knowledge Extraction 
 
<ul>
<li>Create reusable scientific agent skills, task harnesses, validators, run ledgers, and reproducibility controls that allow AI agents to execute diverse, long-running tasks reliably.</li>
<li>Build agentic knowledge extraction and question-answering systems for structured and unstructured technical content, including PDFs, Word documents, handwritten notes, design histories, experimental records, and regulatory-relevant evidence.</li>
<li>Design evaluation, monitoring, guardrails, and human-in-the-loop escalation patterns so agentic outputs are auditable, traceable, and appropriate for high-consequence technical decisions.</li>
<li>Apply knowledge graphs, data ontologies, and structured knowledge representation where they improve retrieval, traceability, and reuse.</li>
</ul>
 
 Data Strategy, Decision Support & Workflow Transformation 
 
<ul>
<li>Contribute to DDCS data and AI strategy by identifying reusable patterns, data needs, platform capabilities, and solution architectures that support digital transformation at scale.</li>
<li>Turn information from experiments, simulations, development documents, and business processes into faster insights, stronger judgment, and improved ways of working across innovation and commercialization efforts.</li>
<li>Communicate model predictions, evidence, assumptions, limitations, uncertainty, and recommended actions through clear visualizations, decision-support outputs, and quantitative business cases that influence solution adoption, workflow redesign, platform investments, and portfolio priorities.</li>
</ul>
 
 Reliability, Validation, MLOps & Responsible AI 
 
<ul>
<li>Champion software engineering best practices including version control, automated testing, CI/CD, containers, documentation, reproducibility, observability, and fit-for-purpose MLOps/agent-ops practices.</li>
<li>Develop validation, monitoring, documentation, and model-risk approaches aligned with intended use, responsible AI principles, GxP awareness, and regulatory expectations where applicable.</li>
<li>Leverage cloud infrastructure (and HPC/GPU resources where needed) to develop, test, deploy, and scale agentic workflows, document intelligence systems, and analytics applications.</li>
</ul>
 
 Cross-Functional Collaboration & Scientific Translation 
 
<ul>
<li>Partner across the DDCS matrix with drug delivery scientists, device engineers, formulation scientists, data scientists, AI application engineers, quality, clinical, regulatory, and business stakeholders. </li>
<li>Identify and prioritize high-impact opportunities where AI solutions, scientific ML, agentic workflows, or knowledge extraction can reduce development time, improve productivity, or mitigate technical and business risks. </li>
<li>Translate complex analytical and AI findings into clear narratives and quantitative business cases that influence solution adoption, workflow redesign, platform investments, and portfolio priorities. </li>
</ul>
 
 Capability Building, External Leadership & Mentorship 
 
<ul>
<li>Advance the DDCS technology roadmap for practical AI tools, document intelligence, agentic workflows, and reusable knowledge systems.</li>
<li>Share methods, reference patterns, and lessons learned that help DDCS embed data and AI into everyday work across scientific and business functions.</li>
<li>Mentor team members and partners on reliable agentic systems, responsible AI, and rigorous communication of model assumptions, uncertainty, and decision impact.</li>
<li>Stay current with the fast-moving agentic AI and LLM landscape and bring new tools, frameworks, and techniques into DDCS’s practice where they add real value.</li>
</ul>
Basic Qualifications 
 
<ul>
<li>Earned Master’s degree with a minimum 5 years post-degree experience in Computational/Computer Science, Machine Learning, Artificial Intelligence, Engineering, or a related quantitative field (or equivalent experience)</li>
<li>2+ years of applied technical work building AI or machine learning solutions in a programming language such as Python/R, with working knowledge of the ecosystem (NumPy, pandas, PyTorch, scikit-learn, or related).</li>
<li>3+ years of expertise in strategic thinking, problem framing, and translating ambiguous business or scientific needs into tractable AI, modeling, or computational workflows. </li>
<li>Demonstrated ability to frame ambiguous business or scientific needs as tractable AI, modeling, or computational workflows.</li>
<li>Skill in communicating technical recommendations with clearly stated assumptions, uncertainty, and limitations, to scientific, engineering, and business audiences.</li>
</ul>
Additional Preferences: 
<ul>
<li>Earned PhD in relevant field with 2+ years relevant experience</li>
<li>Experience applying AI/ML to healthcare, pharmaceutical, or life-sciences problems (prior biology or life-sciences background not required).</li>
<li>Strong SQL and relational data modeling, with comfort turning large, messy, unstructured, or incomplete data into reliable, decision-ready output.</li>
<li>Hands-on experience with cloud platforms and solid engineering practice: Git, containers, CI/CD, and experiment or run tracking. Comfort with GPU and HPC environments is a plus.</li>
<li>Experience with knowledge graphs, ontologies, or structured knowledge representation for technical content.</li>
<li>Evidence of contribution to significant work, ideally through publications at relevant ML/AI/NLP venues (NeurIPS, ICML, ICLR, ACL, EMNLP) or comparable open-source or applied contributions.</li>
<li>Fluency with agent frameworks and orchestration (LangGraph, AutoGen, CrewAI, or equivalent) and the primitives underneath them: planner/executor splits, hand-offs, escalation logic, and state management across multi-step or multi-session workflows. Knowing why they fail, not just how to call them.</li>
<li>End-to-end RAG design over messy technical documents: parsing and layout extraction from PDFs, scans, and tables; chunking strategy; hybrid search; reranking; embedding models; and vector stores (pgvector, Pinecone, Weaviate, or similar).</li>
<li>LLM engineering judgment: context design, tool/function calling (MCP or comparable standards), structured output design at scale, and knowing when to fine-tune versus retrieve versus prompt.</li>
<li>Evals engineering: golden datasets and benchmarks, automated regression suites, and failure-mode tracking. Evidence of a trustworthy agent to deploy.</li>
<li>LLMOps in production, treating cost, latency, and reliability as engineering constraints with the monitoring to match.</li>
<li>Guardrail and safety design for autonomous systems: approval gates, rollback logic, hallucination and drift detection, and model-risk thinking for high-consequence decisions.</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 (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).
 
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
 $129,000 - $209,000
 
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’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
 
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