ai 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

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>

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.
 
#WeAreLilly

Senior Advisor, Agentic AI Solutions Engineer

Wight & Company

<div>Are you looking for an opportunity to do challenging, creative work that makes a real impact? Would you like to be part of a company that respects individual contributions and thrives on collaboration? Do you love to win? Then consider joining Wight &amp; Company. We're a nationally recognized, award-winning architecture, engineering, and construction firm known for a dynamic company culture that fosters innovation and challenges the status quo, and we're looking for a talented professional to join our team.

Wight &amp; Company is seeking an AI Solutions &amp; Data Engineer to help turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This hybrid role will work across architecture, engineering, construction, and business operations to identify valuable AI opportunities, develop AI agents and automated workflows, connect information from multiple systems, and help employees confidently apply AI in their work. The ideal candidate combines technical ability with curiosity, creativity, and strong communication skills. This person should be comfortable building solutions directly, facilitating conversations with teams, translating business challenges into technical approaches, and teaching others how to use new tools effectively. The AI Solutions &amp; Data Engineer will report to the Chief Innovation Officer and collaborate with technology, BIM, operations, and departmental leaders across the company.

ESSENTIAL RESPONSIBILITIES

Develop AI Solutions and Agents
<ul>
<li>Design, build, test, and maintain AI agents that support project delivery and business operations.</li>
<li>Develop solutions using large language models, retrieval-augmented generation, workflow automation, APIs, and related technologies.</li>
<li>Connect AI tools with internal applications, document repositories, databases, and third-party platforms.</li>
<li>Create prototypes and pilot programs that allow teams to evaluate new ideas quickly.</li>
<li>Establish methods for testing solution accuracy, reliability, security, and business value.</li>
<li>Help move successful prototypes into maintainable, production-ready solutions.</li>
<li>Monitor the performance and adoption of deployed AI solutions and improve them over time.</li>
</ul>
Build and Manage Data Solutions
<ul>
<li>Gather, clean, organize, and combine data from multiple business and project systems.</li>
<li>Develop and maintain data pipelines, integrations, structured datasets, and reusable data services.</li>
<li>Help establish reliable connections between project, financial, operational, and knowledge-management platforms.</li>
<li>Improve the accessibility and usefulness of organizational data while maintaining appropriate security and permissions.</li>
<li>Collaborate with system owners to improve data quality, consistency, documentation, and governance.</li>
<li>Support dashboards, reporting, predictive analytics, and AI applications that depend on reliable data.</li>
<li>Identify opportunities to reduce duplicate data entry and improve the flow of information across the organization.</li>
</ul>
Identify and Prioritize AI Opportunities
<ul>
<li>Meet with teams across the company to understand their work, challenges, and opportunities.</li>
<li>Facilitate workshops and brainstorming sessions focused on meaningful business problems rather than technology alone.</li>
<li>Translate business needs into clearly defined AI, automation, or data initiatives.</li>
<li>Evaluate potential solutions based on value, feasibility, risk, scalability, and alignment with company priorities.</li>
<li>Help departments develop practical roadmaps for adopting AI and improving their use of data.</li>
<li>Stay informed about emerging AI capabilities and evaluate where they may create value for the company or its clients.</li>
</ul>
Train and Support Teams
<ul>
<li>Develop and deliver practical AI training for employees with varying levels of technical experience.</li>
<li>Teach teams how to use approved AI tools effectively, securely, and responsibly.</li>
<li>Create guides, demonstrations, templates, prompt libraries, and other reusable learning resources.</li>
<li>Coach individuals and teams as they incorporate AI into existing workflows.</li>
<li>Support a network of internal AI champions who can help expand adoption across the organization.</li>
<li>Share successful use cases and lessons learned to encourage continuous improvement.</li>
</ul>
Support Responsible AI and Data Governance
<ul>
<li>Help establish technical standards for AI development, data integration, documentation, testing, and deployment.</li>
<li>Apply appropriate security, privacy, intellectual-property, and data-governance requirements to AI solutions.</li>
<li>Work with technology, legal, risk, and business leaders to evaluate proposed tools and use cases.</li>
<li>Maintain clear documentation of data sources, integrations, models, prompts, permissions, dependencies, and system behavior.</li>
<li>Promote responsible human oversight and clearly communicate the limitations of AI-generated results.</li>
</ul>
BACKGROUND &amp; EXPERIENCE EXPECTATIONS
<ul>
<li>Bachelor's degree in computer science, data engineering, information systems, software engineering, or a related field&mdash;or equivalent professional experience.</li>
<li>Experience developing AI-enabled applications, software integrations, data solutions, or workflow automations.</li>
<li>Proficiency in Python, SQL, APIs, and common data-processing methods.</li>
<li>Experience working with structured and unstructured data from multiple sources.</li>
<li>Understanding of modern generative AI concepts, including large language models, embeddings, vector search, tool use, and retrieval-augmented generation.</li>
<li>Experience developing with cloud platforms, databases, automation tools, or enterprise application ecosystems.</li>
<li>Ability to translate loosely defined business challenges into practical technical solutions.</li>
<li>Strong written, verbal, presentation, and facilitation skills.</li>
<li>Ability to explain technical concepts clearly to nontechnical audiences.</li>
<li>A collaborative mindset and an interest in working directly with employees across many disciplines.</li>
<li>Sound judgment regarding data privacy, cybersecurity, intellectual property, and responsible AI use.</li>
<li>Ability to balance experimentation and speed with reliability, documentation, and long-term maintainability.</li>
</ul>
PREFERRED QUALIFICATIONS
<ul>
<li>Experience with Microsoft Azure, Microsoft 365, Copilot Studio, Power Platform, Fabric, or related Microsoft technologies.</li>
<li>Experience with AI platforms and APIs such as Azure OpenAI, OpenAI, Anthropic, or similar services.</li>
<li>Experience with ETL/ELT processes, data warehouses, lakehouses, semantic models, or business-intelligence platforms.</li>
<li>Familiarity with agent frameworks, orchestration tools, vector databases, or enterprise search technologies.</li>
<li>Experience with application development, source control, testing, deployment, and DevOps practices.</li>
<li>Experience delivering technical training, facilitating workshops, or supporting organizational change.</li>
<li>Familiarity with architecture, engineering, construction, professional services, or project-based organizations.</li>
<li>Experience integrating enterprise systems such as Microsoft 365, Autodesk Construction Cloud, Procore, Bentley, Unanet, CMiC, Egnyte, or similar platforms.</li>
<li>Familiarity with BIM, digital project delivery, estimating, construction management, or design technology is beneficial but not required.</li>
</ul>
Salary Range: $100,000 - $160,000. Individual pay will be based on several factors including experience, knowledge, skills, and abilities of the applicant.

Wight &amp; Company offers excellent benefits and a wonderful work environment. Our comprehensive benefits including medical, dental, vision, disability, life insurance, flexible spending, paid holidays, paid time off, and a 401(k). Our flexible work schedule allows for a healthy work-life balance. For more information about our company, visit our website at www.wightco.com.

Wight &amp; Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetics, protected veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

Wight &amp; Company values diversity in our workforce. We are committed to recruiting, hiring, and promoting people with disabilities and veterans. If you need an accommodation to assist with completing the electronic application, please call us at 630.969.7000 and ask to speak with a Human Resources representative.

#LI-NS1</div>

AI Solutions & Data Engineer

Carrier

<div>About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
Role Responsibilities:<ul><li>
Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to drive business value</li><li>
Build and maintain robust data pipelines, data models, and enterprise data assets that support reporting, analytics, and AI initiatives</li><li>
Partner with business stakeholders to translate requirements into data-driven solutions and actionable insights</li><li>
Implement data governance, quality, security, and responsible AI practices to ensure trusted and compliant use of enterprise data</li><li>
Support the development and enhancement of AI capabilities through predictive modeling, automation, and continuous innovation</li></ul>
Role Purpose:<ul><li>
Play a key role in advancing Carrier's AI and data transformation strategy through innovative analytics and AI solutions</li><li>
Support high-visibility, enterprise-scale initiatives and programs that directly impact business performance and decision-making</li><li>
Collaborate with global cross-functional teams across business and technology functions to deliver scalable digital solutions</li><li>
Provide opportunities to work with modern AI, machine learning, cloud, and data engineering technologies in a rapidly evolving environment</li><li>
Contribute to strategic programs with significant business impact while gaining exposure to enterprise data, analytics, and AI leadership initiatives</li></ul>
Required Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or Information Systems field of study</li><li>
8+ years of professional experience in AI/ML, data engineering, data science, or advanced analytics</li><li>
Must be a U.S. Citizen or U.S. Permanent Resident</li><li>
This role can work anywhere in the US</li></ul>
Preferred Qualifications<ul><li>
Master&rsquo;s Degree</li><li>
Hands-on experience developing, validating, and deploying machine learning models and scalable data pipelines within production environments</li><li>
Expertise in generative AI, MLOps, Azure AI/Data platforms, and enterprise-scale analytics solutions</li><li>
Familiarity with manufacturing, aftermarket, supply chain, or industrial business domains</li><li>
Experience delivering AI products from concept through production deployment</li><li>
Create complex queries and codes using Python and SQL</li><li>
Background working with modern cloud-based data platforms and data engineering tools, supported by effective problem-solving, stakeholder management, and cross-functional collaboration capabilities</li></ul>
Pay Range
The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.
Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.
Benefits
Employees are eligible for benefits, including:<ul><li>
Health Care Benefits: Medical, Dental, Vision; Wellness incentives</li><li>
Retirement Benefits</li><li>
Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation</li><li>
Disability: Short-term and long-term disability</li><li>
Life Insurance and Accidental Death and Dismemberment</li><li>
Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account</li><li>
Tuition Assistance
</li></ul>To learn more about our benefits offering, please click here Work with us | Carrier Corporate. The specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
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Senior AI & Data Solutions Engineer

Coforge

AI Engineer -Practitioners who build and deploy AI models and agentic workflows in production, including prompt engineering, fine-tuning, RAG pipelines, and AI-infused application development. These individuals design, develop, customize, and implement AI solutions for others to use. Technology - Java, Frontend and QE (Playwright).
 We are seeking an experiencedAI Engineer to design, develop, and deploy AI-powered applications and agentic workflows into production environments. The ideal candidate will have hands-on expertise in building AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and modern application development practices.
 This role requires a combination ofAI engineering, Java development, Frontend development, and Quality Engineering (Playwright) to deliver scalable, reliable, and enterprise-grade AI solutions.
 
Key Responsibilities
 
AI Solution Development
 
<ul>
<li>Design, develop, and deploy AI-powered applications using modern LLM technologies.</li>
<li>Build and implement agentic workflows leveraging AI agents, orchestration frameworks, and automation platforms.</li>
<li>Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.</li>
<li>Perform prompt engineering, prompt optimization, and model evaluation to improve AI solution accuracy and reliability.</li>
<li>Fine-tune foundation models where applicable to meet business-specific requirements.</li>
<li>Integrate AI capabilities into existing enterprise applications and platforms.</li>
<li>Monitor, optimize, and maintain AI systems in production environments.</li>
</ul>
Application Development
 
<ul>
<li>Develop backend services and APIs using Java-based frameworks.</li>
<li>Build responsive and scalable frontend applications to deliver AI-driven user experiences.</li>
<li>Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions.</li>
<li>Implement integrations with internal and external systems through APIs and microservices.</li>
</ul>
Quality Engineering Testing
 
<ul>
<li>Develop automated test strategies for AI-enabled applications.</li>
<li>Design and execute UI and API automation using Playwright.</li>
<li>Validate AI outputs through functional, regression, and performance testing.</li>
<li>Establish test frameworks and quality gates for AI solutions deployed in production.</li>
<li>Ensure security, performance, and reliability standards are met.</li>
</ul>
Collaboration Innovation
 
<ul>
<li>Work closely with AI Architects, Data Scientists, Product Teams, and Business SMEs.</li>
<li>Stay current with emerging AI technologies, frameworks, and industry best practices.</li>
<li>Contribute to AI governance, responsible AI practices, and solution documentation.</li>
</ul>
Required Skills
 
AI GenAI
 
<ul>
<li>Prompt Engineering</li>
<li>Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)</li>
<li>Agentic AI Frameworks</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Vector Databases</li>
<li>Model Evaluation and Optimization</li>
<li>Fine-tuning Concepts</li>
<li>AI Application Development</li>
<li>AI Orchestration Frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, etc.)</li>
</ul>
Backend Development
 
<ul>
<li>Java 8+/11+/17+</li>
<li>Spring Boot</li>
<li>REST APIs Microservices Architecture</li>
<li>API Integration</li>
</ul>
Frontend Development
 
<ul>
<li>React.js / Angular / Modern JavaScript Frameworks</li>
<li>HTML5, CSS3, JavaScript, TypeScript</li>
</ul>
Quality Engineering
 
<ul>
<li>Playwright Automation</li>
<li>API Testing</li>
<li>Test Automation Framework Design</li>
<li>Functional Regression Testing</li>
<li>CI/CD Testing Practices</li>
</ul>
Cloud DevOps
 
<ul>
<li>Azure / AWS / GCP</li>
<li>Docker Kubernetes</li>
<li>CI/CD Pipelines</li>
<li>Git, GitHub, Azure DevOps</li>
</ul>

AI Engineer

Jadeer

<div><h2 class="jobSectionHeader">About the Role</h2>
We are looking for an Applied AI Engineer to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
This is an AI-first engineering role, where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, and deploy AI-powered applications using LLMs.</li><li>
Build and optimize RAG and GraphRAG pipelines.</li><li>
Develop AI agents and multi-agent workflows for business automation.</li><li>
Design and manage knowledge graphs using GraphDB technologies.</li><li>
Integrate enterprise data sources with AI applications.</li><li>
Engineer prompts, workflows, and agent orchestration for reliable AI systems.</li><li>
Evaluate and optimize AI models for quality, latency, scalability, and cost.</li><li>
Build production-ready APIs and AI services.</li><li>
Collaborate with cross-functional teams to deliver AI-driven products.</li><li>
Stay up to date with the latest AI models, frameworks, and best practices.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.</li><li>
3+ years of experience developing AI-powered or data-intensive applications.</li><li>
Strong proficiency in Python.</li><li>
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).</li><li>
Experience implementing Retrieval-Augmented Generation (RAG).</li><li>
Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.</li><li>
Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.</li><li>
Experience integrating AI models through APIs and SDKs.</li><li>
Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).</li><li>
Strong analytical, debugging, and problem-solving skills.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with GraphRAG architectures.</li><li>
Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.</li><li>
Experience with Model Context Protocol (MCP).</li><li>
Prompt engineering and AI evaluation frameworks.</li><li>
Knowledge of semantic search and hybrid retrieval.</li><li>
Experience with FastAPI, Django, or Flask.</li><li>
Familiarity with Kubernetes, CI/CD pipelines, and microservices.</li><li>
Experience building knowledge graphs and ontology design.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Opportunity to build cutting-edge AI products.</li><li>
Collaborative and innovative engineering environment.</li><li>
Exposure to the latest AI technologies and frameworks.</li><li>
Professional growth and continuous learning opportunities.</li><li>
Competitive salary and benefits package.</li></ul><h2 class="jobSectionHeader">
Join Our Team</h2>
If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!</div>

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