ai solutions engineer

Palm Hills Developments

<div>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
  <strong>
   Reporting to the Director of Project Controls
  </strong>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education:
  </strong>
  BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.
 </p>
 <p>
  <strong>
   Technical Toolkit:
  </strong>
 </p>
 <p>
  Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.
 </p>
 <p>
  Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)
 </p>
 <p>
  Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.
 </p>
 <p>
  Applied machine learning techniques on multiple projects
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
  : Stakeholder engagement up to C‑suite, vendor management, presentation &amp; training capability; fluent English and Arabic.
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <p>
  &bull;Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.
 </p>
 <p>
  &bull;AI‑related credentials
 </p>
 <p>
  <strong>
   Location:
  </strong>
  <strong>
   Head Office, 6th of October City, Giza, Egypt
  </strong>
 </p>
</div>


AI Solutions Engineer

Wight & Company

<div><p>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.</p>
<p>
Wight &amp; Company is seeking an <b>AI Solutions &amp; Data Engineer</b> to help turn artificial intelligence and organizational data into practical solutions for our teams, clients, and projects. This <b>hybrid</b> 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.</p>
<p><b>
ESSENTIAL RESPONSIBILITIES</b></p>
<p><b>
Develop AI Solutions and Agents</b></p>
<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>
<p><b>Build and Manage Data Solutions</b></p>
<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>
<p><b>Identify and Prioritize AI Opportunities</b></p>
<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>
<p><b>Train and Support Teams</b></p>
<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>
<p><b>Support Responsible AI and Data Governance</b></p>
<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>
<p><b>BACKGROUND &amp; EXPERIENCE EXPECTATIONS</b></p>
<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>
<p><b>PREFERRED QUALIFICATIONS</b></p>
<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>
<p><b>Salary Range</b>: $100,000 - $160,000. Individual pay will be based on several factors including experience, knowledge, skills, and abilities of the applicant.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
#LI-NS1</p></div><p></p>

AI Solutions & Data 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).
<br>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.
<br>This role requires a combination ofAI engineering, Java development, Frontend development, and Quality Engineering (Playwright) to deliver scalable, reliable, and enterprise-grade AI solutions.
<br><br>
Key Responsibilities
<br><br>
AI Solution Development
<br><br>
<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
<br><br>
<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
<br><br>
<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
<br><br>
<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
<br><br>
AI GenAI
<br><br>
<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
<br><br>
<ul>
<li>Java 8+/11+/17+</li>
<li>Spring Boot</li>
<li>REST APIs Microservices Architecture</li>
<li>API Integration</li>
</ul>
Frontend Development
<br><br>
<ul>
<li>React.js / Angular / Modern JavaScript Frameworks</li>
<li>HTML5, CSS3, JavaScript, TypeScript</li>
</ul>
Quality Engineering
<br><br>
<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
<br><br>
<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"><b>About the Role</b></h2><p>
We are looking for an <b>Applied AI Engineer</b> 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.</p><p>
This is an <b>AI-first engineering role</b>, where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Design, develop, and deploy AI-powered applications using LLMs.</p></li><li><p>
Build and optimize RAG and GraphRAG pipelines.</p></li><li><p>
Develop AI agents and multi-agent workflows for business automation.</p></li><li><p>
Design and manage knowledge graphs using GraphDB technologies.</p></li><li><p>
Integrate enterprise data sources with AI applications.</p></li><li><p>
Engineer prompts, workflows, and agent orchestration for reliable AI systems.</p></li><li><p>
Evaluate and optimize AI models for quality, latency, scalability, and cost.</p></li><li><p>
Build production-ready APIs and AI services.</p></li><li><p>
Collaborate with cross-functional teams to deliver AI-driven products.</p></li><li><p>
Stay up to date with the latest AI models, frameworks, and best practices.</p></li></ul><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li><p>
Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.</p></li><li><p>
3+ years of experience developing AI-powered or data-intensive applications.</p></li><li><p>
Strong proficiency in Python.</p></li><li><p>
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).</p></li><li><p>
Experience implementing Retrieval-Augmented Generation (RAG).</p></li><li><p>
Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.</p></li><li><p>
Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.</p></li><li><p>
Experience integrating AI models through APIs and SDKs.</p></li><li><p>
Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).</p></li><li><p>
Strong analytical, debugging, and problem-solving skills.</p></li></ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
Experience with GraphRAG architectures.</p></li><li><p>
Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.</p></li><li><p>
Experience with Model Context Protocol (MCP).</p></li><li><p>
Prompt engineering and AI evaluation frameworks.</p></li><li><p>
Knowledge of semantic search and hybrid retrieval.</p></li><li><p>
Experience with FastAPI, Django, or Flask.</p></li><li><p>
Familiarity with Kubernetes, CI/CD pipelines, and microservices.</p></li><li><p>
Experience building knowledge graphs and ontology design.</p></li></ul><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Opportunity to build cutting-edge AI products.</p></li><li><p>
Collaborative and innovative engineering environment.</p></li><li><p>
Exposure to the latest AI technologies and frameworks.</p></li><li><p>
Professional growth and continuous learning opportunities.</p></li><li><p>
Competitive salary and benefits package.</p></li></ul><h2 class="jobSectionHeader"><b>
Join Our Team</b></h2><p>
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!</p></div>

Applied AI Engineer (AI-First / Vibe Coding)

Innovative Defense Technologies

<div><div><div><div><div><b>About The Role:</b>
</div><div>Innovative Defense Technologies (IDT), a leading defense technology company, is seeking an <b>AI Implementation Engineer</b> to be part of our Warfare Systems team and based out of our Arlington, VA or Mount Laurel, NJ location.</div><div>
</div><div>
The AI Implementation Engineer will design and deliver engineering-focused AI solutions that move beyond demos into reliable, mission-relevant systems. This role is ideal for an engineer who has extensive experience with commercially available AI tooling/chat, hosting LLM servers and has demonstrated ability to build end-to-end capabilities including MCP integrations, RAG pipelines, tool-using agents, and production-grade AI workflows.</div><div>
</div><div>
<b>Clearance &amp; Location Requirements:</b>
</div><ul><li><b>All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.</b>
</li><li><b>This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA location or Mt. Laurel, NJ location.</b>
</li></ul></div></div></div><p>Key Responsibilities
</p><div><div><div><div><b>What You Will Do:</b>
</div><ul><li>Design and Build AI Solutions for On-Prem systems in Air-Gapped environment: Design and implement end-to-end agentic AI systems that support planning, reasoning, tool use, and multi-step execution in real-world environments. Build modular, testable components that move from prototype to operational capability.</li>
<li>Integrate Models and Tools for On-Prem systems in Air-Gapped environment: Develop integrations across LLMs, APIs, data sources, and Model Context Protocol (MCP) interfaces to enable intelligent agents to interact with external systems, retrieve context, and take action safely and reliably.</li>
<li>Develop Retrieval Pipelines for On-Prem systems in Air-Gapped environment: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual relevance, and response quality.</li>
<li>Engineer Conversational and Agentic Interfaces for On-Prem systems in Air-Gapped environment: Create conversational systems and intelligent agents with memory, contextual awareness, adaptive decision-making, and support for multi-turn user and system interactions.</li>
<li>Implement and Evaluate AI Workflows for On-Prem systems in Air-Gapped environment: Translate technical objectives into working pipelines, run experiments, evaluate agent behavior, and iterate on prompts, orchestration logic, retrieval quality, and system performance to improve reliability and usability.</li>
<li>Architect local infrastructure to size, config, and optimize local CPU/GPU workloads, utilizing quantization techniques to maximize throughput, etc.</li>
<li>Orchestrate disconnected environments, design and maintain offline model update pipelines, local package mirrors, etc.</li>
<li>Scope and Define Requirements: Gather, document, and validate technical and functional requirements from project artifacts, stakeholders, and mission needs to ensure feasibility, completeness, and alignment with operational goals.</li>
<li>Collaborate Across Teams: Work closely with engineers, technical leads, and mission stakeholders to integrate AI capabilities into broader software and system architectures. Participate in technical reviews, design discussions, and delivery planning.</li>
<li>Support Technical Quality: Contribute to testing, debugging, and performance optimization of AI-enabled applications, including edge cases involving context management, retrieval failures, tool execution, and orchestration logic.</li>
<li>Learn and Apply Emerging Practices: Stay current on advances in LLMs, agent frameworks, orchestration methods, and applied AI engineering practices, and bring that knowledge into practical system design and implementation.</li>
<li>Communicate Technical Work: Clearly document architectures, workflows, assumptions, and implementation decisions so that solutions are maintainable, explainable, and transferable across teams.</li>
</ul></div></div></div><p>Skills, Knowledge &amp; Expertise
</p><div><div><div><div><b>Who You Are (Required):</b>
</div><ul><li>Bachelor&rsquo;s Degree in Information Technology, Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, Math, or equivalent full-time professional experience; Master&rsquo;s Degree in Engineering or other technical field highly desired</li>
<li>5-10+ years of professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles</li>
<li>Proficiency in Python, including experience with core libraries such as NumPy and Pandas</li>
<li>Deep hands-on experience with production local inference engines such as vLLM, SGLang, Triton Inference Server, or TensorRT-LLM</li>
<li>Experience building software with one or more modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen</li>
<li>Experience with Linux and hardening (fapolicy/selinux/fips/etc)</li>
<li>Experience with commercially available AI tooling/chat</li>
<li>Experience with hosting LLM servers</li>
<li>Experience with hosting different models (chat/embedding)</li>
<li>Experience with distributed networking (reverse proxy/load balancing/firewalls/etc)</li>
<li>Experience with containerization</li>
<li>Ability to work independently on technical tasks while collaborating effectively in a team environment</li>
<li>Ability to shift from one project to another in an agile work environment</li>
<li>Strong leadership capabilities and skills</li>
<li>Strong documentation skills</li>
<li>Ability to travel up to 10% of the time, as needed</li>
</ul><div><b>What Makes You Stand Out:</b>
</div><ul><li>Experience hosting LLM servers on local hardware</li>
<li>Experience with various GPU architectures (NVIDIA preferred)</li>
<li>Experience with AI Gateways</li>
<li>Experience with LLM servers and model optimization (VRAM/layers/quantization/fasttensor/kv-cache/parallel/etc)</li>
<li>Experience with LLM toolcalling</li>
<li>Experience with RAG</li>
<li>Experience with vector stores</li>
<li>Experience with ModelContextProtocol</li>
<li>Experience with container orchestration</li>
<li>Experience managing and directing personnel while maintaining cost and schedule targets</li>
<li>Problem-solving skills with the ability to navigate ambiguous situations</li>
</ul><div><b><i>If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network.</i></b><br>
</div><div><b>Pay Range*: </b>$114,000 - $184,000 or $135,000 - $231,000<br>
</div><div>This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate&rsquo;s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.</div></div></div>
</div><p>Job Benefits
</p><div><div><div><div><b>Why Work at Innovative Defense Technologies (IDT):</b><br>
</div><div>IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including:</div><ul>
<li>Generous benefits package</li>
<li>Competitive PTO</li>
<li>Paid holidays</li>
<li>401(k) with immediate vesting and matching</li>
<li>9/80 optional schedule (2nd and 4th Friday off every month)</li>
<li>Tuition Assistance Reimbursement Program</li>
<li>Professional Development Resources</li>
<li>Pre-Tax Commuter Benefits</li>
<li>Organization-Wide Monthly Tech Connect Events</li>
<li>Annual Employee Recognition Awards</li>
<li>Regular Social Events and Catered Lunches</li></ul><div><br>
<br>
</div><div><b>EEO Statement:</b>
</div><div>IDT is an Equal Opportunity employer.</div></div></div>
</div><p>About Innovative Defense Technologies
</p><div><div>Innovative Defense Technologies (IDT) is a leading defense technology company focused on rapidly delivering mission-critical software and systems solutions to the U.S. government. The company specializes in automation, digital engineering, and enabling the rapid integration of advanced capabilities into complex weapon and combat systems. These essential solutions empower the warfighter to field, operate, and sustain decisive capability at speed and scale.</div><div>
</div><div>
At IDT, our employees are developing advanced mission-critical outcomes by consistently delivering high-quality results, fostering innovation, applying rigorous problem-solving, and effectively collaborating across multifaceted teams and stakeholders. Grounded in these competencies, IDT translates complex customer priorities into robust software solutions.</div></div></div><p></p>

AI Implementation Engineer - JobID-0245

autostore

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
AutoStore&trade; holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That&rsquo;s how we help brands exceed customer expectations.</p><p></p><p>
We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry&rsquo;s most complex needs. With AutoStore&trade;, brands gain speed, efficiency, and improved workplaces. And much more floor space.</p><p></p><p>
AutoStore &ndash; moving things forward.</p></div></div></div></div></div></div></div></div></div><p></p><p><b>
The Role:</b></p><p></p><p>
The AI Engineer develops AI based solutions that increase the overall productivity of the HW engineering team. This includes, creating data models to facilitate the use of AI tools, creating AI agents and models that reduce the time to do HW designs, reviews, and testing. The HW focused AI Engineer reports to the VP of HW NPD and Innovation Engineering located in Atlanta, GA.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Connect and structure hardware data sources (Jira, Excel, ERP, and design/test systems) so AI tools have clean, usable data to work from</p></li><li><p>
Across the Hardware organization, reduce design review preparation and execution from weeks to hours by automating material generation and consolidation</p></li><li><p>
Generate documentation, design review materials, and structured outputs (checklists, comparison tables, risk assessments) in consistent formats</p></li><li><p>
Produce summaries, forecasts, and burndown charts from historical project data</p></li><li><p>
Build agentic workflows that track hardware module status and automatically remind, summarize, and escalate across the development process</p></li><li><p>
Support engineers developing physical AI (embedding intelligence into distributed systems such as robots, cameras, grids, and ports)</p></li></ul><p></p><p><b>
Key Qualifications:</b></p><ul><li><p>
0&ndash;5 years of experience delivering data and AI solutions, or equivalent</p></li><li><p>
Ability to create data structures that facilitate the optimal use of AI tools</p></li><li><p>
Ability to connect existing tools (Jira, Excel, ERP systems, etc.) via APIs to push and pull data</p></li><li><p>
Ability to produce structured output generation - design review materials in consistent formats (Word, PowerPoint, PDF)</p></li><li><p>
Familiar with design tools, processes, and techniques required to deliver hardware solutions on schedule</p></li><li><p>
Strong problem-solving skills and the ability to work both independently and as part of a team</p></li><li><p>
Excellent communication skills across organizational levels</p></li><li><p>
Bachelor's or Master's degree in electrical engineering, computer engineering, computer science, systems engineering, or a related field</p></li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li><p>
Familiarity with RAG (Retrieval-Augmented Generation) to pull from libraries of historical designs, specs, and schematics for grounded suggestions</p></li><li><p>
Familiarity evaluating and integrating commercial EDA platforms with embedded AI/multimodal capabilities (e.g., Siemens Fuse, Cadence Allegro X AI, Quilter) &mdash; tool selection and integration, not model building</p></li><li><p>
Exposure to generative/autonomous design tools and an understanding of where they assist and augment engineering throughput</p></li><li><p>
Familiarity with developing physical AI solutions - embedding intelligence into distributed systems (robots, cameras, grids, ports)</p></li><li><p>
Familiar with project management concepts</p></li></ul><p></p><p><b>
We Offer:</b><br>
AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere.</p><ul><li><p>
Comprehensive Medical, Dental, and Vision plans</p></li><li><p>
Health Savings Account (HSA) with a company contribution</p></li><li><p>
Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents</p></li><li><p>
Retirement 401(k) plan with employer match and discretionary profit sharing contribution</p></li><li><p>
Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders</p></li><li><p>
Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!</p></li></ul><p></p><p>
AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.</p><p></p><h2 class="jobSectionHeader"><b>
Recruitment Agencies</b></h2><p><i>
AutoStore does not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or AutoStore employees. AutoStore is not responsible for any fees related to unsolicited resumes.</i></p></div>
<br><div><div><h3 class="jobSectionHeader"><b>Struggling to find your next dream job?</b></h3><div><div><div><div><p>
We believe that following a defined and structured recruitment process will ensure that we have a fair and equal process for all candidates. We focus on finding the right talent and have designed our process to reduce biases and have a good candidate experience. For that reason, we are not accepting open applications, but encourage you to set up a job alert on our recruitment page to be notified when the next opportunity arises within your field of interest.</p></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Unsure about which path is the right one for you?</b></h3><div><div><div><div><p>
Try our brand new AutoStore Pathfinder! Here you will be able to take a short questionnaire and read about where in our organization your skillset and personality can be a fit
</p></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>About Us</b></h3><div></div><div><div><div><div><p>
AutoStore, founded 1996, is a warehouse robot technology company that invented and continues to pioneer cube storage automation, the densest order-fulfillment solution in existence. Our focus is to marry software and hardware with human abilities to create the future of warehousing. We are a value driven organization, with our people being our most important asset. Lean, Bold, and Transparent manifest itself in everything we do, and are pushing borders to increase efficiency, safety and develop new products for our customers. AutoStore was born out of the great idea for storing goods like Rubik's Cube, instead of Dominos. We are now looking for talent that share our values and curiousity for new technology and development</p></div></div></div></div></div></div></div><p></p>

AI Engineer – HW Development

SCAN Health Plan

<div><p>Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the &ldquo;12 Angry Seniors.&rdquo; Their mission continues to guide everything we do.</p><p>
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.</p><p>
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.</p><p>
At SCAN, we believe scale should strengthen&mdash;not dilute&mdash;our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.</p><p></p><p><b>
The Job:</b></p><p></p><p>
As an AI Engineer, you will design, build, and optimize enterprise AI solutions that improve how the organization operates, makes decisions, and serves its members. Your responsibilities span developing AI applications, building secure and scalable data and automation pipelines, and supporting production-ready AI systems. You will collaborate across business, data, security, compliance, and technology teams to translate business needs into practical AI solutions, apply responsible AI practices, and deliver measurable value through innovation, automation, and continuous improvement.</p><p></p><p><b>
You Will:</b></p><p></p><p><b>
AI Solution Design &amp; Engineering</b></p><ul><li>
Design, build, and maintain AI-powered applications, services, and workflows that address enterprise business needs.</li><li>
Translate business requirements into scalable technical designs, prototypes, and production-ready solutions.</li><li>
Apply software engineering best practices for reliability, maintainability, documentation, and secure deployment.</li></ul><p><b>
LLM &amp; Agentic AI Implementation</b></p><ul><li>
Develop and integrate AI capabilities using large language models, embeddings, prompt engineering context engineering, and agentic frameworks.</li><li>
Build AI assistants, automation tools, and agentic workflows that improve productivity and operational outcomes.</li><li>
Evaluate model behavior, output quality, performance, and fit-for-purpose use across enterprise scenarios.</li></ul><p><b>
Data, Integration &amp; Retrieval Engineering</b></p><ul><li>
Build and maintain data pipelines, API integrations, and retrieval patterns that support AI applications and analytics.</li><li>
Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate.</li><li>
Partner with data and platform teams to ensure quality, lineage, scalability, and secure access to enterprise data sources.</li></ul><p><b>
AI Platform, DevOps &amp; Operational Support</b></p><ul><li>
Support deployment, monitoring, testing, and maintenance of AI solutions across development, test, and production environments.</li><li>
Implement CI/CD, model evaluation, observability, and operational controls for AI-enabled systems.</li><li>
Troubleshoot technical issues, improve performance, and support continuous enhancement of AI platforms and applications.</li></ul><p><b>
Responsible AI, Security &amp; Governance</b></p><ul><li>
Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight.</li><li>
Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use.</li><li>
Document solution design, risks, controls, assumptions, and operational considerations for AI systems.</li><li>
We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.</li><li>
Actively support the achievement of SCAN&rsquo;s Vision and Goals.</li><li>
Other duties as assigned.</li></ul><p></p><p><b>
Your Qualifications:</b></p><ul><li>
Bachelor's Degree in Computer science, Engineering, or a related field, or equivalent experience</li><li>
Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG),vector embeddings, prompt engineering, and agent orchestration</li><li>
Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations.</li><li>
Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence).</li><li>
Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Semantic Kernel, etc.).</li><li>
Ability to connect business requirements to technical solutions, develop reusable components, and improve solution adoption and operational impact.</li><li>
Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams.</li><li>
Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.</li><li>
Strong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies</li><li>
Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.</li></ul><p></p><p><b>
Preferred Certifications or Licenses:
</b></p><ul><li>Microsoft Certified: Azure AI Engineer Associate</li><li>
Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial.</li><li>
Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous.</li></ul><p></p><p><b>
Experience Preferred:
</b></p><ul><li>Extensive experience (6+ years) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.</li><li>
Demonstrated hands-on expertise (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions.</li><li>
Proven track record delivering enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams.</li><li>
Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services.</li><li>
Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued.</li><li>
Strong stakeholder management and communication skills, with ability to translate business needs into scalable technical solutions and drive adoption across diverse teams.</li><li>
Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.</li></ul><p></p><p><b>
What's in it for you?</b></p><ul><li><p>
Base salary range: $106,200 to $182,983 annually</p></li><li><p>
An annual employee bonus program</p></li><li><p>
Robust Wellness Program</p></li><li><p>
Generous paid-time-off (PTO)</p></li><li><p>
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days</p></li><li><p>
Excellent 401(k) Retirement Saving Plan with employer match</p></li><li><p>
Robust employee recognition program</p></li><li><p>
Tuition reimbursement</p></li><li><p>
An opportunity to become part of a team that makes a difference to our members and our community every day!</p></li></ul><p></p><p>
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!</p><p></p><p>
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.</p><p></p><p>
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.</p><p></p><p>
#LI-JB1 #LI-Hybrid</p><p><b>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></p><p></p><p><i>
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information. 41 CFR 60-1.35(c)</i></p></div>

AI Staff Engineer

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