artificial intelligence engineer

hatch IT

<div>hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:

About The Role:

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
<h3 class="jobSectionHeader">
Responsibilities:</h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader">Qualifications:</h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader">Preferred Qualifications:
</h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div>Benefits:

Expression offers competitive salaries and benefits, such as:
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</div></div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

AI/ML Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

Datamatics Technologies

<div>
 Job Description: AI / ML Engineer
 
 
 Job Title:
 
 AI / ML Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 &nbsp;
 
 
 Riyadh (Onsite)
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 AI / ML Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
 </li>
 <li>
 Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
 </li>
 <li>
 Develop Generative AI and LLM-powered applications using modern AI frameworks
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
 </li>
 <li>
 Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
 </li>
 <li>
 Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
 </li>
 <li>
 Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
 </li>
 <li>
 Stay current with advancements in AI, machine learning, and cloud AI services
 </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
 <li>
 Hands-on experience with
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 Experience with
 
 Azure OpenAI or AWS Bedrock
 
 for Generative AI solutions
 </li>
 <li>
 Experience with
 
 BigQuery ML and Dataflow
 
 for data processing and machine learning workflows
 </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning solutions using
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
 </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
 <li>
 Experience with
 
 Hugging Face and LangChain
 
 for building LLM-powered applications
 </li>
 <li>
 Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
 </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
 <li>
 Experience with
 
 Databricks
 
 for data engineering, model development, and analytics workflows
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering, and large-scale data processing
 </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
 <li>
 Experience deploying machine learning models into production
 </li>
 <li>
 Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in AI, Machine Learning, or Data Science
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Experience working in Agile development environments
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with Large Language Models (LLMs) and Generative AI applications
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
 </li>
 <li>
 Experience with distributed model training and cloud-native AI architectures
 </li>
 <li>
 Cloud certifications in AWS, Azure, or Google Cloud are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud AI:
 
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 
 Generative AI:
 
 
 Azure OpenAI or AWS Bedrock
 
 
 and
 
 Large Language Models (LLMs)
 </li>
 <li>
 
 Data Processing:
 
 
 BigQuery ML and Dataflow
 
 
 and
 
 Databricks
 </li>
 <li>
 
 Programming:
 
 Python
 </li>
 <li>
 
 Machine Learning Frameworks:
 
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 
 LLM Frameworks:
 
 
 Hugging Face or LangChain
 
 </li>
 <li>
 
 MLOps:
 
 Docker
 
 and
 
 Kubernetes
 
 and
 
 CI/CD (Preferred)
 </li>
 </ul>
</div>

Dechert LLP

<div><div><div><div><div><div><div><div><div>Dechert, LLP is a global specialist law firm focused on high end legal work. The AI Engineer partners directly with attorneys, legal professionals, and business-services teams to identify, design, build, and deploy secure AI-enabled solutions that improve the delivery of legal services and firm operations. This role operates at the intersection of business discovery, rapid application development, artificial intelligence, automation, and enterprise technology.
</div><div></div><div>The role translates complex legal and operational needs into practical, scalable solutions&mdash;including generative AI applications, retrieval-augmented generation (RAG) solutions, workflow automations, intelligent agents, integrations, and custom web applications.
</div><div></div><div>The position is part of the IT Applications rapid-development function and is responsible for moving high-value opportunities from idea through proof of concept, pilot, production readiness, and transition to the appropriate enterprise applications, platform, or operations team for long-term support. The engineer works within the firm&rsquo;s security, privacy, data governance, architecture, and AI-risk-management standards.
 </div><div></div><div>ESSENTIAL JOB FUNCTIONS:
</div><ul><li>Partner with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business-services teams to understand workflows, pain points, and desired outcomes.</li>
<li>Facilitate technical discovery sessions; assess business problems for AI, automation, workflow, integration, and custom application opportunities.</li>
<li>Rapidly design and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.</li>
<li>Build secure AI-enabled applications, including generative AI assistants, document and knowledge-search solutions, RAG applications, workflow copilots, intelligent agents, and decision-support tools.</li>
<li>Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.</li>
<li>Design AI solutions that appropriately address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.</li>
<li>Work with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to ensure solutions meet global firm standards before production deployment.</li>
<li>Evaluate and select appropriate technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time-to-value.</li>
<li>Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards that accelerate future AI and automation delivery.</li>
<li>Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI-enabled solutions.</li>
<li>Establish solution success measures, such as time saved, adoption, accuracy, user satisfaction, process-cycle reduction, risk reduction, and business impact.</li>
<li>Create technical documentation, architecture diagrams, support materials, operating procedures, and knowledge-transfer artifacts.</li>
<li>Transition mature solutions to the appropriate applications support and operations or enterprise application development, ensuring clear ownership, support readiness, and lifecycle plans.</li>
<li>Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.</li>
<li>Stay current on AI engineering practices, legal-industry AI use cases, emerging tools, AI governance requirements, and applicable technology trends.</li>
<li>Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.</li>
<li>Partner with Legal, Risk, Security, and Compliance Teams to ensure AI initiatives meet applicable legal and regulatory obligations.</li>
<li>Ensure AI systems handling client or confidential information meet applicable privacy, security, and data handling requirements across all operating jurisdictions.</li> 
</ul><div></div> 
<div>KNOWLEDGE:
 </div><ul><li>Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings, vector databases, AI agents, model evaluation, and responsible AI practices.</li>
 <li>Application development concepts, including APIs, microservices, web applications, databases, authentication, authorization, logging, monitoring, testing, and CI/CD practices.</li>
 <li>Cloud and enterprise technology environments, including secure API integration, DevOps, identity and access management, data governance, and application lifecycle management.</li>
 <li>Automation and orchestration technologies, such as workflow platforms, robotic process automation, low-code/no-code development tools, and integration platforms.</li>
 <li>Data privacy, confidentiality, information security, records retention, and risk considerations applicable to professional-services or legal environments.</li>
 <li>Software development methodologies, including Agile, Kanban, rapid prototyping, product discovery, and iterative delivery.</li>
 <li>Legal-industry workflows and systems is preferred, including document management, knowledge management, time and billing, matter management, legal research, e-discovery, client intake, and financial systems.</li>
</ul><div>SKILLS:
</div><ul><li>Strong software engineering skills in one or more modern programming languages, such as Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL, or similar technologies.</li>
<li>Ability to build and deploy AI-enabled applications using APIs, SDKs, orchestration frameworks, cloud services, and enterprise platforms.</li>
<li>Ability to translate ambiguous business needs into clearly defined user stories, technical requirements, solution designs, and delivery plans.</li>
<li>Strong consultative and communication skills, with the ability to work effectively with attorneys, senior business leaders, technical teams, vendors, and nontechnical users.</li>
<li>Ability to explain AI capabilities, limitations, risks, and recommended controls in clear, practical language.</li>
<li>Strong analytical, problem-solving, and systems-thinking abilities.</li>
<li>Ability to balance speed and experimentation with security, quality, governance, maintainability, and long-term supportability.</li>
<li>Experience designing user-centered solutions and incorporating feedback into rapid iterations.</li>
<li>Strong organization and prioritization skills in a fast-moving environment with multiple concurrent initiatives.</li>
<li>Knowledge of responsible AI frameworks such as React and emerging international AI regulations.</li>
</ul><div>INTERESTS:
</div><ul><li>Genuine curiosity about applying AI to meaningful legal, client-service, and business-operations challenges.</li>
<li>Interest in working directly with end users and seeing solutions through from discovery to measurable adoption.</li>
<li>Interest in responsible AI, data protection, human-centered design, and practical technology governance.</li>
<li>Enthusiasm for experimentation, continuous learning, emerging technologies, and building reusable enterprise capabilities.</li>
<li>Interest in improving how attorneys and professional-services teams access knowledge, complete work, collaborate, and serve clients.</li>
 </ul><div></div><div>EDUCATION AND EXPERIENCE:
</div><div></div><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline required; equivalent combination of education, training, and relevant experience may be considered.</li>
<li>Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.</li>
<li>Minimum of 2 years of experience designing, developing, or deploying AI-enabled, machine-learning, generative AI, automation, or intelligent workflow solutions preferred.</li>
<li>Experience building applications using large language model APIs, RAG architectures, AI orchestration frameworks, Model Context Protocol (MCP), Azure/OpenAI, vector search technologies, or agentic workflow patterns strongly preferred.</li>
<li>Experience with cloud platforms such as Microsoft Azure or Amazon Web Services⁠.</li>
<li>Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management required.</li>
<li>Experience in a law firm, legal technology provider, consulting firm, financial-services organization, or other regulated professional-services environment strongly preferred.</li>
<li>Experience working with cross-functional stakeholders and delivering technology solutions from discovery through production deployment required.</li>
<li>Relevant certifications in cloud engineering, AI, software development, security, automation, Agile delivery, or legal technology are preferred but not required.</li></ul></div></div></div></div></div></div></div></div><div></div>

AI Engineer

Booz Allen Hamilton

<div>AI and ML Engineer, Lead
The Opportunity:
Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs while complying with the organization&rsquo;s strategies, business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies.
You Have:<ul><li>
3+ years of experience in application development, AI/ML engineering, software engineering, or data science</li><li>
3+ years of experience designing, developing, operationalizing, and maintaining complex software or machine learning applications at enterprise scale</li><li>
1+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data to support machine learning workflows</li><li>
1+ years of experience building scalable data pipelines, ETL/ELT workflows, or model training and deployment pipelines</li><li>
Experience creating solutions within a collaborative and cross-functional team environment</li><li>
Ability to code and develop scalable solutions from scratch using languages such as Python or TypeScript</li><li>
Ability to navigate ambiguity, problem-solve creatively, and operate with minimal supervision</li><li>
Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI/ML platforms</li><li>
TS/SCI clearance</li><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, or Mathematics and 3+ years of experience in a professional technical work environment or 7+ years of experience in a professional technical work environment in lieu of a degree</li></ul>
Nice If You Have:<ul><li>
Experience with full-stack application development or deploying ML models</li><li>
Experience with Palantir tools such as Foundry</li><li>
Experience with distributed data or computing tools, including Spark, Databricks, or pipeline data science tools such as Alteryx</li><li>
Experience working on real-time data, streaming applications, or AI model deployment</li><li>
Experience with data warehousing using AWS RDS, PostgreSQL, or Snowflake</li><li>
Experience with Agile engineering practices</li><li>
Ability to rapidly master new AI/ML frameworks, libraries, and tools</li><li>
Ability to be technically curious and eager to learn</li></ul> 
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AI and ML Engineer, Lead

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

Lowe's Home Improvement

<div>Innovate in Charlotte
Thank you for dedicating your time and talent to Lowe&rsquo;s. We want to give you more opportunities to learn and grow, so if you find a position you&rsquo;re interested in below, we encourage you to apply!
Your Impact 
The primary purpose of this role is to lead artificial intelligence (AI) engineering initiatives and the development of AI solutions that enable the integration and evolution of advanced machine learning (ML) models, including deep learning (DL) frameworks and large language models (LLMs). The Lead AI Engineer will be responsible for leading the advancement of model performance, implementing essential tools and frameworks, and optimizing compute and storage solutions to elevate AI technologies to new heights. 
Work with a Winning Team 
As part of a Fortune 500 company and retail leader, your work can change an entire industry. Our CEO is a forward-thinker when it comes to tech, and with one of Forbes Top 50 CIOs leading the charge, you can come to work knowing you&rsquo;ll have access to the data, tools, and support that few other companies can offer. We also know what it takes to create an inclusive culture that supports you. Our teams are structured around the engineer, giving you the support you need to do your best work. Since we&rsquo;ve been in business for over 100 years, we&rsquo;ve built an excellent track record of growth and success. There&rsquo;s peace of mind knowing you have the stability and resources you need to focus on solving tough challenges. And as you solve these challenges, know you&rsquo;ll be surrounded by supportive associates with curious minds who listen to you, respect you, and recognize your hard work. 
What You Will Do<ul><li>
Leads the development of the AI platform and ensures the scalability of the platform accommodates a wide spectrum of AI models and integration of new AI advancements as APIs.</li><li>
Leads the architectural design, development, and implementation of sophisticated tools and frameworks that elevate ML experimentation and deployment, ensuring that the platform delivers high-end AI functionalities.</li><li>
Architects and orchestrates the management of graphics processing unit and central processing unit resources to enhance the performance of AI models while maximizing cost efficiency and resource utilization.</li><li>
Mentors and guides junior team members to ensure a seamless integration of AI models into the platform.</li><li>
Leads the creation and management of robust data movement strategies and pipelines, optimizing data flows to meet the requirements of intensive AI model training and inference processes.</li><li>
Leads initiatives for continuous improvement by evaluating platform performance analytics and gathering user feedback.</li><li>
Leads cross-functional teams, fostering a collaborative environment that merges deep technical knowledge with strategic business insights and a keen understanding of user needs.</li><li>
Champions the development and enforcement of rigorous security protocols and governance measures for the AI platform, ensuring data integrity and adherence to industry standards and best practices.</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in science, technology, engineering, math, or related field or equivalent years of experience in lieu of education requirement, if applicable</li><li>
6 years of experience executing and deploying data science, ML, and DL (fewer years may be accepted with a Master's or Doctorate degree), ML platform engineering, MLOps tools, and ML frameworks</li><li>
6 years of programming experience in Java and/or Python</li><li>
4 years of experience working with cross-functional partners</li></ul> 
Preferred Skills/Education<ul><li>
Master&rsquo;s degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics</li><li>
5 years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI</li><li>
6 years of Python programming experience.</li><li>
2 years of experience in AI technology.</li></ul>
Benefits<ul><li>
401k with up to 4.25% match</li><li>
Discounted Employee Stock Purchase Plan (15% discount of strike price)</li><li>
Tuition-Free Education</li><li>
10-week Maternity/Parental Leave</li><li>
10% Associate Discount</li></ul>
For information about our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits
About Lowe&rsquo;s
Lowe&rsquo;s Companies, Inc. (NYSE: LOW) is a FORTUNE&reg; 100 home improvement company with total fiscal 2025 sales of more than $86 billion. Lowe&rsquo;s employs approximately 300,000 associates and operates over 1,750 home improvement stores, 540 branches and 120 distribution centers. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
Lowe&rsquo;s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Pay Range: $128,300.00 - $243,800.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.</div>

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