ai solutions engineer

Vantage Data Centers

<div><h1 class="jobSectionHeader">About Vantage Data Centers</h1> 
Vantage Data Centers powers, cools, protects and connects the technology of the world&rsquo;s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.
Information Technology Department
The Information Technology Department architects and operates the digital foundation powering Vantage Data Centers' global operations while pioneering the intelligent transformation of how we work. Our integrated IT/AI organization delivers enterprise-grade infrastructure, networking, cybersecurity, and end-user services with operational excellence, while simultaneously developing artificial intelligence capabilities that drive measurable business value. We are transforming our service delivery model around ITIL best practices, comprehensive automation frameworks, and governance structures that enable both stability and innovation. Our teams collaborate across Infrastructure, Network, Service Desk, IT Engineering, and Artificial Intelligence functions, emphasizing service over technology and recognizing that success is measured by business outcomes rather than technical implementations. This is an exceptional time to join as we fundamentally reshape how technology serves the organization, creating an environment where operational discipline and innovative experimentation work as complementary forces.
Artificial Intelligence Team
The Artificial Intelligence Team exists to amplify human potential through intelligent technology. We're building an AI-powered ecosystem that transforms how Vantage creates value, freeing our people from routine work so they can focus on innovation and strategic thinking that truly differentiates us in the market. Through responsible AI implementation across operations, engineering, and business functions, we're not just automating processes; we're reimagining what's possible when human creativity partners with artificial intelligence. Our approach centers on measurable business outcomes, ethical governance, and creating capabilities that make every team member more effective while positioning Vantage at the forefront of the intelligent infrastructure revolution.
Position Overview
This position is based remotely in the United States.
The AI Solutions Engineer, Global is a hands-on technical builder within Vantage&rsquo;s Accelerators team, responsible for transforming validated business requirements into working AI prototypes that demonstrate tangible value within aggressive 6-week development cycles. This role combines deep expertise in AI/ML technologies, Microsoft 365 ecosystem mastery, and pragmatic software engineering discipline to deliver production-quality code under rapid prototyping constraints. The Solutions Engineer operates at the technical frontline of innovation, making real-time architectural decisions, writing code that balances speed with maintainability, and validating hypotheses through working demonstrations rather than theoretical designs. Success requires the rare combination of technical depth, velocity orientation, and business pragmatism, knowing when to leverage existing platforms versus custom development, when to optimize versus ship, and when technical debt is strategic versus dangerous. This is not research engineering focused on algorithmic innovation; this role delivers practical solutions using proven technologies in novel combinations that solve actual business problems for Vantage&rsquo;s data center operations.
Essential Job Functions<ul><li>
Design and deliver AI-powered prototypes within 6‑week sprint cycles, producing production-quality code that demonstrates business value and supports future enterprise productization.</li><li>
Build intelligent solutions leveraging the Microsoft 365 ecosystem, including Azure AI Services, Azure OpenAI, Copilot Studio, and Power Platform.</li><li>
Partner with Accelerators and Navigators to translate validated opportunities into working solutions, providing feedback on feasibility, performance, and implementation complexity.</li><li>
Apply SDLC best practices&mdash;version control, code reviews, automated testing, and CI/CD&mdash;within a rapid prototyping environment to balance quality and speed.</li><li>
Produce clear technical documentation (code, APIs, deployment, and architecture decisions) to enable seamless handoff to Development teams.</li><li>
Demonstrate prototypes to stakeholders, translating technical capabilities into business value and incorporating feedback into iterative improvements.</li><li>
Make pragmatic engineering decisions that balance speed, technical debt, and long-term scalability.</li><li>
Develop solutions using Halo and Copilot platforms in alignment with enterprise architecture and platform standards.</li></ul>
Duties<ul><li>
Develop AI solutions using Python, TypeScript/JavaScript, and modern frameworks, including ML models, agentic systems, NLP, and intelligent automation.</li><li>
Integrate Azure AI services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Document Intelligence into enterprise-ready solutions.</li><li>
Build custom Copilots using Copilot Studio to support conversational AI, workflow automation, and decision support within Microsoft 365.</li><li>
Design data pipelines and ETL processes to prepare enterprise data for AI use, ensuring data quality, privacy, and performance.</li><li>
Implement APIs, webhooks, and integrations connecting AI solutions with enterprise platforms (Microsoft 365, SharePoint, Power Platform, Salesforce, and operational systems).</li><li>
Rapidly evaluate and experiment with emerging AI technologies, focusing on solutions suitable for production environments.</li><li>
Participate in code reviews, pair programming, and knowledge sharing to ensure prototype quality and team capability growth.</li><li>
Embed security, privacy, and governance controls from the outset, meeting enterprise compliance standards.</li><li>
Create automated tests and validation checks to verify solution accuracy, reliability, and readiness for demonstrations.</li><li>
Troubleshoot and resolve complex technical and integration issues while documenting learnings.</li><li>
Package prototypes with deployment scripts, configuration documentation, and user guides for stakeholder demonstrations.</li><li>
Support handoff to Development teams through architecture walkthroughs, documentation, and knowledge transfer.</li><li>
Stay current on Microsoft AI platform updates and industry best practices, applying relevant innovations to prototyping efforts.</li><li>
Handle additional duties as assigned by Management.</li></ul>
Job Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field; advanced degree or relevant AI/ML certifications preferred.</li><li>
Strong hands-on experience building AI/ML solutions using modern frameworks (e.g., LangChain, Semantic Kernel, or similar agentic platforms).</li><li>
Proficiency in Python and TypeScript/JavaScript, with a track record of writing clean, maintainable, well-documented code.</li><li>
Deep experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, and Power Platform.</li><li>
Experience developing within the Microsoft Copilot ecosystem (Copilot Studio, Microsoft Graph, Teams, SharePoint).</li><li>
Solid understanding of machine learning, NLP, retrieval-augmented generation, prompt engineering, and agentic system design.</li><li>
Experience with modern development practices including Git, CI/CD pipelines, containerization, infrastructure as code, and cloud-native architectures.</li><li>
Strong API and integration experience, including REST services, OAuth/authentication, and enterprise system connectivity.</li><li>
Proven ability to deliver high-quality software under tight timelines while balancing speed and technical rigor.</li><li>
Familiarity with data center operations, construction workflows, or infrastructure delivery is a plus.</li><li>
Knowledge of security, data privacy, and enterprise compliance standards.</li><li>
Strong problem-solving and debugging skills, particularly in complex, integrated environments.</li><li>
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.</li><li>
Self-directed, adaptable, and comfortable working in fast-paced, minimally supervised environments.</li><li>
Demonstrated growth mindset with enthusiasm for learning, experimentation, and knowledge sharing.</li><li>
Travel required is expected to be up to 5% but may increase over time as the business evolves.</li></ul>
Physical Demands and Special Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds.
Additional Details<ul><li>
Salary Range: $130,000-135,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations)</li><li>
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&amp;D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.</li><li>
Compensation for the role will depend on a number of factors, including your qualifications, skills, competencies, and experience and may fall outside of the range shown.</li></ul>
#LI-Remote #LI-CD1
We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other&rsquo;s strengths and respecting each other&rsquo;s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations. 
Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.
Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.
Vantage Data Centers is an Equal Opportunity Employer
Vantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.</div>

AI Solutions Engineer, Global

Tata Consultancy Services (TCS)

<div></div><div><div><div><div>Must-Have Skills
<ul><li>Strong AI/ML engineering and software development experience</li>
<li>Expertise in LLMs, Gemini APIs, Vertex AI, and Google Cloud</li>
<li>Experience building agentic AI workflows, copilots, and intelligent agents</li>
<li>Hands-on implementation of RAG systems and vector databases</li>
<li>Strong prompt engineering skills and applied analytics knowledge</li>
<li>Ability to integrate AI solutions with enterprise systems</li>
<li>Experience with middleware, orchestration layers, and API integrations</li>
<li>Knowledge of AI observability, evaluation frameworks, guardrails, and security controls</li>
<li>Strong problem-solving, debugging, and rapid prototyping ability</li>
<li>Excellent communication and stakeholder management skills</li>
<li>Ability to thrive in fast-paced, ambiguous environments with ownership mindset</li>
</ul>
Key Responsibilities
<ul><li>Develop and deploy AI solutions using Gemini Enterprise, Vertex AI, and Google Cloud</li>
<li>Build prototypes, POCs, and production-grade AI applications rapidly</li>
<li>Design and implement agentic workflows, RAG systems, and AI orchestration pipelines</li>
<li>Integrate LLMs with enterprise platforms and build middleware layers</li>
<li>Create intelligent copilots, multi-modal demos, and automation workflows</li>
<li>Ensure AI systems meet standards for reliability, s ecurity, explainability, and compliance</li>
<li>Implement monitoring, evaluation, and human-in-the-loop frameworks</li>
<li>Work directly with clients to gather requirements and design AI solutions</li>
<li>Lead technical discussions, discovery workshops, and solution demos</li>
<li>Act as a bridge between business stakeholders and engineering teams</li>
</ul></div></div></div><div><div><div>Location</div>
<div>Milford Center, OH</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Senior Engineer</div>
</div><div><div>Job Id</div>
<div>416664</div>
</div><div><div>Desired Skills</div>
<div>Artificial Intelligence</div>
</div><div><div>Salary Range</div>
<div>$120,000-$160,000 a year</div></div></div></div><div></div>

Forward Deployed Engineer

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
 </li>
 <li>
 Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
 </li>
 <li>
 Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
 </li>
 <li>
 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
 </li>
 <li>
 Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
 </li>
 <li>
 Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
 </li>
 <li>
 Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup, particularly as founding engineer
 </li>
 <li>
 Experience building and deploying large-scale AI solutions
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Applied AI Engineer, Global Public Sector

EPAM Systems

<div>We are looking for a Lead AI Agent Developer to design, build, and operationalize production-grade AI agents, multi-agent workflows, and AI/ML solutions using Python, Azure AI Foundry, Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and Strands SDK. You will work alongside architects and data teams to take solutions from prototype to scalable, reliable production.
Responsibilities<ul><li>
Design, build, and maintain production-grade AI agents and multi-agent workflows for enterprise use cases</li><li>
Integrate and operationalize AI/ML models and agent workflows into scalable production systems</li><li>
Implement orchestration using Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and/or Strands SDK</li><li>
Implement RAG, grounding, and prompt optimization to improve response quality and reduce hallucinations</li><li>
Integrate agents with internal and external systems via APIs and connectors</li><li>
Design and implement error handling, fallback flows, and escalation paths</li><li>
Perform testing and evaluation of agents and automation workflows</li><li>
Collaborate with architects and data teams to translate requirements into deployable AI solutions</li><li>
Support deployment, CI/CD, and release management (Azure DevOps)</li><li>
Monitor and continuously improve agent performance, reliability, and cost efficiency</li></ul>
Requirements<ul><li>
Proficiency in Python development for AI/agent solutions, with solid general scripting ability</li><li>
Hands-on experience building agents and multi-agent workflows with one or more orchestration frameworks: Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, Strands SDK</li><li>
Expertise in Azure AI Foundry for building, deploying, and operating agents at scale (hosted agents, agent service, memory, evaluation)</li><li>
Solid understanding of LLM concepts: prompt engineering, RAG, grounding, tool/function calling, hallucination mitigation, and evaluation</li><li>
Skills in API integration (REST APIs, JSON, authentication via OAuth2 / API keys)</li><li>
Competency in designing agent behavior: state and memory management, tool use, error handling, fallback, and escalation paths</li><li>
Capability to collaborate with architects and data engineering teams to deliver scalable, production-grade solutions</li><li>
English proficiency at B2 level or higher</li></ul>
Nice to have<ul><li>
Background in Azure AI Services and the broader Azure stack (Blob Storage, Container Services)</li><li>
Experience with multi-cloud agent deployment (e.g., AWS Bedrock via Strands SDK)</li><li>
Familiarity with Model Context Protocol (MCP) for tool/connector integration</li><li>
Knowledge of LLMOps / MLOps: monitoring, evals, and cost/latency optimization for AI Agents</li><li>
Experience with vector databases, retrieval infrastructure for RAG and Docker</li><li>
Skills in Microsoft Graph API integration and delivering in enterprise or regulated/validated environments (e.g., GxP), including governance and observability tooling</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of assignments and projects</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation office zones with tea, coffee and snacks</li><li>
Sports and game consoles</li><li>
IT equipment and Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.</div>

Lead AI Agent Developer

Suffolk Construction

<div>
 
 Overview
 
 
 
 
 About Suffolk
 
 
 
 Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.
 
 
 Suffolk &ndash; America&rsquo;s Contractor &ndash; is a national company with more than $9 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR&rsquo;s list of &ldquo;Top CM-at-Risk Contractors.&rdquo; For more information, visit www.suffolk.com and follow Suffolk on Facebook , Twitter , LinkedIn , YouTube , and Instagram .
 
 
 At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That&rsquo;s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.
 
 
 Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more.  For more information, click  here .
 
 
 
 Role
 
 
 
 Join Suffolk&rsquo;s project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project&rsquo;s AI Champion (Project Manager or Superintendent), you&rsquo;ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You&rsquo;ll help advance the vision of the &ldquo;Construction Site of the Future,&rdquo; showing how agentic AI will transform project operations.
 
 
 Location: Fort Myers, FL
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Opportunity hunting and workflow redesign &ndash; Lead discovery; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
 </li>
 <li>
 Process and data maturity assessment &ndash; Evaluate jobsite&rsquo;s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
 </li>
 <li>
 Assess the market solutions &ndash; Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
 </li>
 <li>
 Rapid AI-agent builds &ndash; Convert user stories into MVP agents in AWS Bedrock/Sagemaker , ChatGPT Enterprise, and other frameworks within days, with heavy use of AI coding assistants; wire them to Teams/SharePoint on the front end and Databricks Lakehouse , AWS services, or other sources on the back end.
 </li>
 <li>
 Enterprise-grade engineering &amp; LLMOps &ndash; Build Agentic RAG pipelines backed by Opensearch and other data stores; automate infra with GitHub Actions; monitor latency, cost, adoption, and drift.
 </li>
 <li>
 Data integrations &ndash; Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
 </li>
 <li>
 Cross-cloud orchestration &ndash; Blend AWS Bedrock, OpenA and Azure OpenAI behind secure custom connectors; package agents for seamless rollout.
 </li>
 <li>
 Change enablement &ndash; Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
 </li>
 <li>
 Stakeholder communication &ndash; Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for Suffolk&rsquo;s &ldquo;Construction Site of the Future.&rdquo;
 </li>
 <li>
 Escalation &amp; hand-off &ndash; Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in. Work closely with those teams to turn prototypes into enterprise-ready scaled applications.
 </li>
 <li>
 Compliance &ndash; Ensure every on-site AI tool meets Suffolk&rsquo;s information security, data governance, and client confidentiality standards.
 
 
 </li>
 </ul>
 #SUFFOLKHIRING
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 4&ndash;6+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG/Agentic solutions.
 </li>
 <li>
 Bachelor&rsquo;s in CS, Engineering, Physics, or a related field; Master&rsquo;s preferred.
 </li>
 <li>
 Prior hands-on work in construction or heavy process industries (manufacturing, oil &amp; gas, chemicals) is a significant plus.
 </li>
 <li>
 Demonstrated process excellence background (Lean/Six Sigma Green Belt a huge plus) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
 </li>
 <li>
 Strong facilitation and communication skills.
 </li>
 <li>
 Hands-on expertise with Claude Code, Devin AI, MS Copilot, and other coding assistants
 </li>
 <li>
 Programming &amp; data stack: Python, SQL, Fast API , Databricks Lakehouse, vector stores.
 </li>
 <li>
 DevOps &amp; IaC: GitHub Actions Terraform or CloudFormation automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
 </li>
 <li>
 Integration &amp; ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
 </li>
 <li>
 Willing and able to travel and work on active jobsites.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.
 
 
 
 EEO Statement
 
 
 
 Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.
</div>

Site AI Engineer - Fort Meyers, FL

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

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AI/ML Engineer – Agentic AI

TAWANTECH

<div>Job Summary
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.
Key Responsibilities<ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul> 
Requirements<ul><li> 
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul>
Preferred Qualifications<ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

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