ai solutions engineer

TRICENTIS

<div><div>About the Role:<br>
The AI Solutions Engineer is a hands-on technical role responsible for designing, building, and deploying AI-driven solutions that improve workforce efficiency, security, and overall productivity. This position works closely with business stakeholders, IT, and functional teams to translate real-world challenges into practical, scalable AI applications.<br>
<br>
Operating in a cloud-first enterprise environment, the AI Solutions Engineer integrates AI capabilities into existing business systems and workflows, ensuring solutions are secure, compliant, and production-ready. The role balances strong technical execution with cross-functional collaboration, helping the organization realize measurable value from AI while supporting responsible and sustainable adoption.<br>
<br>
Essential Duties</div><ul><li><div>
Design, build, test, and deploy AI-driven solutions that support business workflows and improve efficiency, security, and productivity.</div></li><li><div>
Collaborate with business stakeholders and IT teams to gather requirements and translate use cases into functional AI applications.</div></li><li><div>
Contribute to AI solution roadmaps by providing technical input and feasibility assessments.</div></li><li><div>
Develop and maintain prompt libraries, APIs, and integration components for generative AI and LLM-based solutions.</div></li><li><div>
Integrate AI capabilities with enterprise systems and SaaS applications using APIs, automation tools, and cloud services.</div></li><li><div>
Support pilot programs and proof-of-concept initiatives, iterating based on user feedback and performance metrics.</div></li><li><div>
Ensure AI implementations align with established governance, security, and compliance standards.</div></li><li><div>
Monitor solution performance, usage, and cost metrics; optimize for reliability and scalability.</div></li><li><div>
Participate in design workshops, demos, and stakeholder discussions to support solution alignment and adoption.</div></li><li><div>
Stay current with advancements in AI tools, platforms, and frameworks; recommend improvements where appropriate.</div></li><li><div>
Document technical designs, implementation patterns, and best practices to support reuse and maintainability.</div></li></ul><div></div><div>
Experience &amp; Skills Required</div><ul><li><div>
3+ years of professional experience in software engineering, automation, data engineering, or AI/ML solution development within an enterprise environment.</div></li><li><div>
Hands-on experience building and deploying AI, generative AI, or LLM-based solutions in production or pilot environments.</div></li><li><div>
Experience developing solutions leveraging Microsoft 365, Copilot, and the Power Platform (Power Automate, Power Apps) to improve business workflows.</div></li><li><div>
Proficiency in at least one modern programming language commonly used for AI development (e.g., Python, JavaScript/TypeScript).</div></li><li><div>
Experience integrating solutions with enterprise systems and SaaS applications using APIs and automation tools.</div></li><li><div>
Understanding of prompt engineering, retrieval-augmented generation (RAG), embeddings, or similar AI implementation patterns.</div></li><li><div>
Ability to translate business requirements into secure, scalable technical solutions.</div></li><li><div>
Strong problem-solving and communication skills, with the ability to collaborate effectively across technical and non-technical teams.</div></li></ul><div></div><div>
Tricentis is proud to be an equal opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, gender, religious affiliation, age, sexual orientation, socioeconomic status, or physical and mental disability and other statuses protected by law.<br>
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Global Sanctions Compliance<br>
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We comply with all applicable global sanctions and export control laws. Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations. Candidates must notify us of any changes to their status during the application process or subsequent employment.</div><div></div><div>
U.S. Work Authorization:</div><div><br>
This role is not eligible for employer-sponsored work visas. Applicants must be authorized to work in the U.S. without current or future sponsorship.</div></div>

AI Solutions Engineer

Gulf University Bahrain

<p><b>Job Profile</b></p><p><b>Job title</b></p><p>AI Solutions Engineer</p><p><b>Unit name: </b></p><p>Digital Transformation Center</p><p><b>Reports to: </b></p><p>Director of Digital Transformation Center &amp; IT Manager</p><p><b>Introduction: </b>Gulf University is a nationally accredited University which was established by his highness&rsquo;s the prime minister&rsquo;s cabinet decree number 1649-03 issued on the 2nd of September 2001. GU aims to establish itself as a distinguished provider of higher education that will appeal to international, Bahraini and GCC students who prefer to be educated in a cultural environment acceptable to parents, students, and labor market alike.</p><p>IT Department is ensuring properly functioning and configured network devices, computers, secure access to facilities provided by the servers, such as applications and data storage areas, access to the systems, internet, and e-mail.</p><p><b>Job Overview: </b>We are seeking a highly skilled AI Solutions Engineer with strong expertise in AI development, automation systems, machine learning, LLM applications, and engineering‑based implementation of AI solutions. The candidate will lead all university AI projects end‑to‑end, including design, development, integration, training, and deployment.</p><p><b>1. Required Qualifications and Experience: </b></p><p>&middot; Bachelor&rsquo;s degree in computer science, engineering, AI, Data Science, or a related field (or equivalent work experience).</p><p>&middot; Proven hands-on experience as a senior developer, with at least 4-5 years of AI development experience, server management, and Git version control system.</p><p>&middot; Expertise in Python, machine learning frameworks (TensorFlow, PyTorch), n8n, LLM platforms, OpenAI, Azure AI, Google Vertex AI, or similar.</p><p>&middot; Experience deploying AI models using Docker/Kubernetes.</p><p>&middot; Solid understanding of API integration, including RESTful and SOAP APIs.</p><p>&middot; Proficiency in Azure DevOps for project management and continuous integration/continuous deployment (CI/CD) pipelines.</p><p>&middot; High commitments in deadline management and prioritization in a fast-paced environment.</p><p>&middot; Advanced knowledge of database design principles, complex query optimization, and performance tuning.</p><p>&middot; Familiarity with reporting tools and techniques for generating dashboards, actionable insights from data.</p><p>&middot; Excellent communication skills and the ability to collaborate effectively with cross-functional teams.</p><p>&middot; Demonstrated leadership abilities and experience mentoring junior developers.</p><p>&middot; Strong attention to detail and a commitment to delivering high-quality code.</p><p><b>2. Preferred qualifications and experience</b></p><p>&middot; Master&rsquo;s / Bachelor&rsquo;s degree in computer science, engineering, or a related field.</p><p>&middot; Certifications in relevant technologies such as AI, Clouds, Laravel, Azure, or Git.</p><p>&middot; Experience with containerization technologies such as Docker and Kubernetes.</p><p>&middot; Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</p><p>&middot; Previous experience working on AI-driven projects or applications.</p><p>&middot; Contributions to open-source projects or participation in developer communities.</p><p><b>3. Required Skills: </b></p><p>&middot; <b>AI/ML development:</b> Understanding of artificial intelligence concepts and their applications in backend development. Awareness of machine learning algorithms and frameworks.</p><p>&middot; <b>Generative AI and LLM pipelines:</b> Ability to build and deploy AI solutions using large language models (LLMs) for tasks such as text generation, automation, intelligent search, and RAG-based systems.</p><p>&middot; <b>Cloud AI platforms:</b> Experience using cloud AI services (Azure AI, Vertex AI, AWS SageMaker) to train, deploy, and manage AI models securely and at scale.</p><p>&middot; <b>Automation and workflow optimization:</b> Skilled in automating university processes, integrating systems, and creating efficient workflows that reduce manual work and improve operational performance.</p><p>&middot; <b>Git Version Control System</b>: In-depth understanding of Git version control system for codebase management, collaboration, and version tracking.</p><p>&middot; <b>API Integration</b>: Demonstrated expertise in integrating third-party APIs and services, including RESTful and SOAP APIs, to enhance system functionality and interoperability.</p><p>&middot; <b>Azure DevOps</b>: Hands-on experience with Azure DevOps for project management, continuous integration, and deployment pipelines.</p><p>&middot; <b>Projects &amp; Deadline Management</b>: Strong ability to manage project timelines effectively, prioritize tasks, and deliver high-quality code within specified deadlines.</p><p>&middot; <b>Complex Database Queries</b>: Proficient in developing and optimizing complex database queries for efficient data retrieval and manipulation.</p><p>&middot; <b>Dashboards &amp; Reports</b>: Experience in generating insightful reports and dashboards to provide stakeholders with valuable insights.</p><p>&middot; <b>Communication and Collaboration</b>: Excellent communication skills and the ability to collaborate effectively with cross-functional teams, including front-end developers, UX/UI designers, and stakeholders.</p><p>&middot; <b>Leadership and Mentorship</b>: Demonstrated leadership abilities and experience mentoring junior developers, providing guidance on best practices, coding standards, and emerging technologies.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Apple

<p>Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish.<br>
<br>
We are seeking an experienced and hands-on AI Solutions Engineer to conceptualise, develop, and deploy next-generation AI systems in our global supply chain function.<br>
<br>
<b>Description</b><br>
This role will focus on implementing cutting-edge Generative AI and Agentic AI solutions, backed by strong Data Science and supply chain functional expertise.
<br>
<br>
You will ideate, give ideas shape, and connect the dots between AI capabilities and real-world business challenges, driving automation, resilience, and efficiency across the value chain.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and deploy Generative AI and Agentic AI solutions tailored for supply chain use cases (e.g., demand forecasting, scenario planning, anomaly/exception handling, data monitoring).<br>
Leverage technologies like LLMs, autonomous agents, reinforcement learning, and reasoning frameworks to power decision-making tools.<br>
Lead the experimentation and operationalization of AI agents across planning, sourcing, logistics, and fulfillment domains.<br>
Architect scalable data pipelines that ingest, transform, and serve high-quality data for AI/ML workloads.<br>
Ensure robust data integration from ERP, Supply Chain systems, and third-party APIs (e.g., weather, risk).<br>
Implement MLOps best practices to manage AI lifecycle: versioning, monitoring, retraining, and governance.<br>
Work closely with cross functional supply chain IT and operations teams to translate business challenges into AI-driven solutions.<br>
Bring functional understanding across areas like S&amp;OP, inventory management, supplier risk, and procurement operations.<br>
Drive continuous improvement through digital twin models, predictive analytics, and scenario simulation.<br>
Collaborate with data scientists, and engineers in a fast-paced agile environment.<br>
Act as a thought leader in identifying high-value opportunities for AI within the enterprise supply chain.<br>
Present technical concepts and business value to executive stakeholders clearly and persuasively.<br>
<br>
<b>Preferred Qualifications</b><br>
Experience with commercial supply chain platforms (e.g., Kinaxis, Blue Yonder).<br>
Exposure to digital twin and simulation platforms.<br>
Strong storytelling, communication, and stakeholder management skills.<br>
Experience in collaborating with global teams in a matrixed organization.<br>
<br>
<b>Minimum Qualifications</b><br>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Operations Research, or a related field.<br>
7+ years of experience in data engineering, AI/ML, or analytics roles.<br>
4+ years of hands-on experience with Generative AI (e.g., GPT, Claude, open-source LLMs) and Agent-based architectures (LangChain, AutoGen, etc.).<br>
Strong background in data science: SQL, Spark, Python, Airflow, cloud (AWS/GCP/Azure), and data lakes.<br>
Deep understanding of supply chain processes (planning, logistics, procurement, manufacturing).<br>
Familiarity with MLOps tools, vector databases (e.g., Pinecone, FAISS), and AI safety practices.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

Marcura

<div><p>The Managed Port Calls team requires a <b>Staff AI Engineer to drive AI innovation across our Marcura platform. </b>This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.</p><p>
The role is <b>hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML</b> best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.</p><p>
Sample use cases that the role will require to build and manage:
</p><ul><li>Convert manual processes to fully automated processes</li><li>
Partially automate processes when full automation is not achievable</li><li>
Help improve efficiency for both operations team and customers</li><li>
Reduce the amount of manual (especially repetitive) work mainly for operations team</li><li>
Predict answers to questions based on an existing historical knowledge base</li><li>
Predict costs based on historical knowledge</li><li>
Chat bot style task automation</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of <b>8 years of experience in relevant fields including data science and AI
</b></li></ul><p></p><p><b>Machine Learning &amp; AI:</b></p><ul><li>
Experience with <b>LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith</b></li><li>
Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li><li>
Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li><li>
Proven experience designing, training, and deploying ML models in production environments</li><li>
Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li><li>
Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li></ul><p><b>
Programming:</b></p><ul><li>
Strong <b>coding skills in languages such as Python,
</b></li><li>Good to have programming experience in Java,</li><li>
Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li></ul><p><b>
Cloud Computing:</b></p><ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul><p><b>
Software Development:</b></p><ul><li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li><li>
Experience with version control systems (e.g., Git).</li></ul><p><b>
Data Analysis:</b></p><ul><li>
Ability to analyze and interpret complex datasets.</li></ul><p><b>
Problem-Solving:</b></p><ul><li>
Strong analytical thinking to identify and solve operational inefficiencies.</li><li>
Ability to design and implement AI-driven solutions.</li></ul><p><b>
Communication:</b></p><ul><li>
Ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Strong written and verbal communication skills.</li></ul><p><b>
Collaboration:</b></p><ul><li>
Experience working in cross-functional teams.</li><li>
Ability to collaborate with other developers, data scientists, and business analysts.</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
<b>Competitive Salary and Bonus</b>: We reward your expertise and contributions.</li><li>
<b>Inclusive Onboarding Experience</b>: Our onboarding program is designed to set you up for success right from day one.</li><li>
<b>Marcura Wellness Zone</b>: We value your work-life balance and well-being.</li><li>
<b>Global Opportunities</b>: Be part of an ambitious, expanding company with a local touch.</li><li>
<b>Diverse, Supportive Work Culture</b>: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Generative AI Solutions Engineer

Acosta Group

<div><p>Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta&rsquo;s internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.</p><p>
The ideal candidate will have hands-on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine-tuning and Retrieval-Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued.</p><p>
Beyond technical implementation, the AI Engineer will provide second- and third-level support, mentor business users and citizen developers, and collaborate with cross-functional teams to embed AI into business-critical workflows. The role also supports Acosta&rsquo;s broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise.</p><p></p><p><br>
This is a <b>hybrid role</b> based in our office environment in either <b>Jacksonville, FL, Lewisville, TX</b> or <b>Mississauga/Toronto, ON</b> . Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.</p><p>
Essential Functions of this Position</p><ul><li>
Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives</li><li>
API Development &amp; Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.</li><li>
Vectorization &amp; Embeddings: Expertise in vector databases and semantic search.</li><li>
Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio</li><li>
Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365</li><li>
Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices</li><li>
Provide second- and third-level support for AI-related incidents, enhancements, and deployments</li><li>
Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads</li><li>
Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption</li><li>
Mentor and support business users and citizen developers in building and scaling AI-powered solutions</li><li>
Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement</li><li>
Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity</li><li>
Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy</li><li>
Maintain and enforce change control processes.</li><li>
Assist in developing and maintaining operational standards and best practices.</li><li>
Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.</li><li>
Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.</li><li>
Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).</li><li>
Perform other duties as required and/or assigned.</li></ul><p>
Applicants must be <b>legally authorized to work in the United States and/or Canada</b> without the current or future need for <b>employer-sponsored work authorization</b>.</p><p>
Minimum Education and Work Experience</p><ul><li>
Bachelor&rsquo;s Degree in Technology Industry is preferred or equivalent work experience</li><li>
High School Diploma/ GED is required</li><li>
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.</li><li>
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).</li></ul><p>
Knowledge, Skills, and Abilities Requirements</p><ul><li>
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.</li><li>
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).</li><li>
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).</li><li>
LLMs &amp; Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.</li><li>
Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI</li><li>
Familiarity with MLOps practices and tools for model lifecycle management and monitoring</li><li>
Understanding of responsible AI principles, including fairness, transparency, and data privacy</li><li>
Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape</li><li>
Experience with cloud-based development environments, particularly Microsoft Azure</li><li>
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response</li><li>
 Excellent communication skills (both written and oral) combined with strong interpersonal skills.</li><li>
Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.</li></ul><p><br>
Physical Requirements</p><ul><li>
Seeing</li><li>
Listening</li></ul><p>
The incumbent(s) in this position should exhibit the following Acosta values:</p><ul><li>
People Minded &ndash; Must show dignity and respect to all people</li><li>
Integrity &ndash; Must exemplify the highest degree of ethical behavior</li><li>
Results Oriented &ndash; Must show passion, pride and commitment to succeed</li><li>
Trust &ndash; Must be honest, sincere and confident</li><li>
Teamwork &ndash; Must build trusting relationships</li><li>
Innovation &ndash; Must progress through a combination of creativity, common sense and vision</li><li>
Balance &ndash; Must maintain an optimistic attitude and keep perspective on what is important in life.</li></ul><div>
Le Groupe Acosta est un collectif r&eacute;unissant les agences de d&eacute;tail, de marketing et de services alimentaires les plus fiables : Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services et Product Connections. Ensemble, nous mettons les consommateurs en contact avec les marques qu'ils aiment par le biais de la vente omnicanale, du merchandising, de la promotion des marques et du marketing int&eacute;gr&eacute;.</div><br>
<div>
<br>
</div><div>Nous sommes conscients que nos collaborateurs sont &agrave; la base de notre succ&egrave;s. C'est pourquoi nous donnons la priorit&eacute; &agrave; leur croissance, &agrave; leur d&eacute;veloppement et &agrave; leur bien-&ecirc;tre afin de les aider &agrave; atteindre leur plein potentiel. Gr&acirc;ce &agrave; des programmes con&ccedil;us pour favoriser l'&eacute;quilibre entre vie professionnelle et vie priv&eacute;e, nous offrons des opportunit&eacute;s adapt&eacute;es &agrave; votre style de vie et &agrave; vos ambitions, que vous soyez &agrave; la recherche d'une flexibilit&eacute; &agrave; temps partiel ou d'une progression de carri&egrave;re &agrave; temps plein.</div><br>
<div>
<br>
</div><div>Le Groupe Acosta est un employeur qui souscrit au principe de l'&eacute;galit&eacute; des chances et veille &agrave; ce que les candidats handicap&eacute;s b&eacute;n&eacute;ficient d'am&eacute;nagements raisonnables. Si un am&eacute;nagement raisonnable est n&eacute;cessaire, veuillez contacter AskHR@acosta.com. N'oubliez pas d'indiquer &quot;Accommodement pour les candidats&quot; dans l'objet de votre courriel afin d'acc&eacute;l&eacute;rer le traitement de la demande.</div><br>
<div>
<br>
</div><div>Le Groupe Acosta estime en toute bonne foi que le salaire annuel minimum et maximum ou la fourchette de r&eacute;mun&eacute;ration horaire pour cette opportunit&eacute; sont exacts et raisonnables au moment de la publication.</div><br>
<div>
<br>
</div><div>En postulant, vous acceptez notre Politique de Confidentialit&eacute; et Nos Conditions D'utilisation</div></div>

AI/Machine Learning Data Engineer

<div><p>Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta&rsquo;s internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.</p><p>
The ideal candidate will have hands-on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine-tuning and Retrieval-Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued.</p><p>
Beyond technical implementation, the AI Engineer will provide second- and third-level support, mentor business users and citizen developers, and collaborate with cross-functional teams to embed AI into business-critical workflows. The role also supports Acosta&rsquo;s broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise.</p><p></p><p><br>
This is a <b>hybrid role</b> based in our office environment in either <b>Jacksonville, FL, Lewisville, TX</b> or <b>Mississauga/Toronto, ON</b> . Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.</p><p>
Essential Functions of this Position</p><ul><li>
Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives</li><li>
API Development &amp; Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.</li><li>
Vectorization &amp; Embeddings: Expertise in vector databases and semantic search.</li><li>
Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio</li><li>
Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365</li><li>
Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices</li><li>
Provide second- and third-level support for AI-related incidents, enhancements, and deployments</li><li>
Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads</li><li>
Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption</li><li>
Mentor and support business users and citizen developers in building and scaling AI-powered solutions</li><li>
Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement</li><li>
Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity</li><li>
Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy</li><li>
Maintain and enforce change control processes.</li><li>
Assist in developing and maintaining operational standards and best practices.</li><li>
Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.</li><li>
Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.</li><li>
Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).</li><li>
Perform other duties as required and/or assigned.</li></ul><p>
Applicants must be <b>legally authorized to work in the United States and/or Canada</b> without the current or future need for <b>employer-sponsored work authorization</b>.</p><p>
Minimum Education and Work Experience</p><ul><li>
Bachelor&rsquo;s Degree in Technology Industry is preferred or equivalent work experience</li><li>
High School Diploma/ GED is required</li><li>
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.</li><li>
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).</li></ul><p>
Knowledge, Skills, and Abilities Requirements</p><ul><li>
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.</li><li>
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).</li><li>
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).</li><li>
LLMs &amp; Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.</li><li>
Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI</li><li>
Familiarity with MLOps practices and tools for model lifecycle management and monitoring</li><li>
Understanding of responsible AI principles, including fairness, transparency, and data privacy</li><li>
Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape</li><li>
Experience with cloud-based development environments, particularly Microsoft Azure</li><li>
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response</li><li>
 Excellent communication skills (both written and oral) combined with strong interpersonal skills.</li><li>
Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.</li></ul><p><br>
Physical Requirements</p><ul><li>
Seeing</li><li>
Listening</li></ul><p>
The incumbent(s) in this position should exhibit the following Acosta values:</p><ul><li>
People Minded &ndash; Must show dignity and respect to all people</li><li>
Integrity &ndash; Must exemplify the highest degree of ethical behavior</li><li>
Results Oriented &ndash; Must show passion, pride and commitment to succeed</li><li>
Trust &ndash; Must be honest, sincere and confident</li><li>
Teamwork &ndash; Must build trusting relationships</li><li>
Innovation &ndash; Must progress through a combination of creativity, common sense and vision</li><li>
Balance &ndash; Must maintain an optimistic attitude and keep perspective on what is important in life.</li></ul><div>
Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies&mdash;Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing.</div><br>
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</div><div>We recognize our associates are the foundation of our success. That&rsquo;s why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions&mdash;whether you&rsquo;re looking for part-time flexibility or full-time career advancement.</div><br>
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</div><div>Ready for a career path that&rsquo;s as unique as you? Discover your path at Acosta Group!</div><br>
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</div><div>Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include &quot;Applicant Accommodation&quot; in the subject of your email to expedite the request.</div><br>
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</div><div>Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.</div><div><br>
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</div><div><p>The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov)</p></div><div><br>
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</div><div>By applying, you agree to our Privacy Policy and Terms and Conditions of Use.</div><br>
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</div><div><b>#DiscoverYourPath</b></div></div>

Acuity Insurance

<div><div>Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.</div>
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<div>ESSENTIAL FUNCTIONS:</div>
<div><ul><li>Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.</li>
<li>Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.</li>
<li>Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.</li>
<li>Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.</li>
<li>Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.</li>
<li>Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.</li>
<li>Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.</li>
<li>Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.</li>
<li>Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.</li>
<li>Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.</li>
<li>Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.</li>
<li>Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.</li>
<li>Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.</li>
<li>Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.</li>
<li>Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.</li>
<li>Participate in regular attendance and complete mandatory training programs as assigned by Acuity.</li>
<li>Perform other duties as assigned.</li>
</ul>
<p>EDUCATION:</p>
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Bachelor&rsquo;s degree or equivalent combination of education and experience in software engineering, computer science, or related field.</p>
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EXPERIENCE:</p>
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A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.</p>
<p></p>
<p>OTHER QUALIFICATIONS:</p>
<ul>
<li>Expertise across a wide range of tools and technologies, including.
<ul><li>Programming languages such as Java, Python, and JavaScript.</li>
<li>Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.</li>
<li>Familiarity with web UI frameworks such as Vue, React, or Angular.</li>
<li>Knowledge of software development workflows, CI/CD pipelines and version control tools.</li>
<li>AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.</li>
<li>Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.</li>
<li>Familiarity with AI Observability tools to monitor and debug AI responses.</li>
<li>Understanding API Management, including rate limiting, latency, and token cost optimization.</li>
<li>Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.</li>
</ul></li><li>Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.</li>
<li>Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.</li>
<li>Strong communication skills and ability to work with cross functional teams.</li>
<li>Excellence in documentation, testing practices, and operational reliability.</li>
<li>Ability to stay current with AI advancements, LLM research, and evolving best practices.</li>
<li>Passion for building reliable, safe, and impactful Generative AI systems.</li>
</ul>
<p>Acuity does not sponsor applicants for U.S. work authorization.*</p>
<p><i>
This job is classified as exempt.</i></p>
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The salary range for this position is $79,500 - $130,000 annually. This salary range is an estimate and the actual salary will vary based on applicant&rsquo;s education, experience, knowledge, skills, and abilities.</i></p>
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For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.</i></p>
<p><i>
We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local states unrelated to the performance of the work involved.</i></p>
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If you have a disability and require reasonable accommodations to apply or during the interview process, please contact our Talent Acquisition team at </i><i>careers@acuity.com</i><i>. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.</i></p></div></div>

Senior Software Engineer - Generative AI

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