ai engineer

pointer infotech L.L.C

<p><b>Overview</b></p><p>Join our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this dynamic role, you will design, implement, and optimize AI models and machine learning frameworks to solve complex problems across various domains. Your expertise will drive the deployment of scalable AI systems, leveraging big data technologies and cloud services to deliver impactful results. This position offers an exciting opportunity to work with advanced tools and methodologies in a collaborative environment dedicated to pushing the boundaries of AI innovation.</p><p><b>Responsibilities</b></p><ul><li><b>Job Summary:</b></li><li>We are looking for an experienced AI Engineer / Senior AI Architect with strong expertise in Agentic AI, Conversational AI, and AI solution development. The ideal candidate will have hands-on experience building AI solutions across Microsoft and Google ecosystems.Key Skills &amp; Responsibilities:Develop Agentic AI solutions, conversational agents, and virtual assistants.Hands-on experience with Microsoft Foundry and Azure AI services.Experience with Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.Build and integrate APIs and web services with AI applications.Experience with NLP, Generative AI, LLMs, and AI/ML.Develop and maintain SharePoint Online solutions using Microsoft Power Platform.Train, deploy, monitor, and optimize AI models.Create Looker dashboards for monitoring AI agent performance.Strong programming skills in C#, .NET, JavaScript, or Python.Ensure AI solutions follow security, privacy, governance, and responsible AI practices.Collaborate with business SMEs and cross-functional technical teams.Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.Required Experience:5+ years of IT experience.2+ years of AI Conversational Agent implementation experience.1+ year of Power Platform experience.Mandatory: Agentic AI development using Microsoft Foundry.Mandatory: SharePoint Online + Microsoft Power Platform.Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.*</li><li>No Visa sponsorship is available this time</li></ul><p>Pay: $65.00 - $70.00 per hour</p><p>Work Location: In person</p>

AI Engineer

MOZN

<div>
 <strong>
  <strong>
   About Mozn
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  </strong>
 </strong>
 <p>
  MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
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  We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
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  <br/>
  If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 </p>
 <strong>
  <strong>
   About the role
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  </strong>
 </strong>
 <p>
  We are looking for a AI Engineer to lead the design, deployment, and optimization of machine learning and generative AI solutions. The role focuses on applying advanced ML techniques to solve real-world challenges across government and enterprise clients in Saudi Arabia.
 </p>
 <strong>
  What you'll do
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 <ul>
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   Designing, building, and scaling machine learning models and infrastructure
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   Deploying deep learning and generative models into production for public and private sector projects
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   Optimizing ML training and inference for performance, latency, and scalability
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   Monitoring, retraining, and improving deployed ML models
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   Driving consultation efforts, providing expert guidance to client stakeholders
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   Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
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   Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
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   Develop backend services and APIs to expose AI capabilities securely and reliably
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  <li>
   Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
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   Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms
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  Requirements
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   Bachelor's or master's degree in computer science or related field
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   3-5 years of experience across software engineering, ML engineering, data science, data engineering and generative AI
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   Strong track record of projects across public and private sectors
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   Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
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   Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
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   Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
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   Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
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   Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
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   Familiarity with MLOps practices and automation pipelines
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   Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
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   Experience building data ingestion, transformation, and processing pipelines
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   Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
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   Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
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   Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
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   Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
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   Ability to independently build functional AI applications from prototype through production
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   Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery
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  </li>
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  Benefits
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   You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
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   You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
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 </ul>
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   The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
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   You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
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   We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
  </li>
 </ul>
</div>


Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
Standard (Mon-Fri)<p></p><p><b>
Environmental Conditions</b></p>
Office<p></p><p><b>
Job Description</b></p><p></p><p>
At Thermo Fisher&rsquo;s PPD clinical research business, we&rsquo;re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.</p><p></p><p>
We know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.</p><p><b><br>
Position Summary:</b></p><p></p><p>
We are seeking a highly motivated <b>AI Engineer</b> (known internally as a Scientist II, Data Sciences, band 5) to help design, build, deploy, and optimize AI solutions that advance CRG's digital strategy. In this role, you will design, implement, and optimize AI models that support data analysis, automation, and innovation. You'll collaborate with data scientists, software engineers, and domain experts to translate business needs into scalable, intelligent solutions.</p><p></p><p>
The ideal candidate will be proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI. Proven experience needed with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques.</p><p></p><p>
Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI.</p><p></p><p><b>
AI and Machine Learning Development</b></p><ul><li>
Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support.</li><li>
Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems.</li><li>
Evaluate and optimize model performance using appropriate validation metrics and techniques.</li><li>
Build reusable model pipelines, APIs, and components for scalable AI product deployment.</li></ul><p></p><p><b>
Data Engineering and Data Management</b></p><ul><li>
Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources.</li><li>
Build and maintain ETL/data workflows that support ML and generative AI workloads.</li><li>
Work with relational, document, columnar, graph, and object store systems; design schemas for AI and analytics use cases.</li><li>
Ensure data quality, reproducibility, lineage, and governance compliance.</li></ul><p></p><p><b>
Digital Product Integration and Lifecycle Management</b></p><ul><li>
Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability.</li><li>
Support documentation, traceability, and regulatory readiness (e.g., auditability, GxP considerations).</li><li>
Contribute to CRG Digital's product development lifecycle including discovery, prototyping, testing, deployment, and iteration.</li></ul><p></p><p><b>
Innovation, Partnerships, and Enablement</b></p><ul><li>
Stay current on emerging AI and ML technologies, evaluating opportunities for CRG Digital roadmaps.</li><li>
Contribute to an innovative ecosystem involving external partners and technology collaborators.</li><li>
Support internal digital and AI upskilling through documentation, best practices, and knowledge sharing.</li></ul><p></p><p><b>
Tools, Technologies, and Platforms</b></p><p>
Programming: Python, SQL, Spark</p><p>
Libraries and Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, LangChain/LangGraph, OpenAI/other LLM SDKs</p><p>
Data Tools: Pandas, NumPy, Jupyter</p><p>
Cloud and Platforms: Databricks, AWS, Azure GCP; S3 or Azure Blob Storage</p><p>
Version Control: Git/GitHub</p><h2 class="jobSectionHeader"><b>
Education and Experience:</b></h2><ul><li>
Bachelor's degree or equivalent and relevant formal academic/vocational qualification. Master's degree preferred.</li><li>
Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years).</li><li>
In some cases, an equivalency, consisting of a combination of appropriate education, training, and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.</li></ul><p></p><p><b>
Knowledge, Skills, and Abilities:</b></p><ul><li>
Proficiency in modern SQL, Python, Spark, and associated AI/ML packages.</li><li>
Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices.</li><li>
Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior.</li><li>
Experience with cloud architecture, distributed computing, and modern ML platforms.</li><li>
Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment).</li><li>
Ability to manage multiple priorities in a matrixed environment.</li><li>
Excellent analytical thinking, problem-solving, and communication skills.</li><li>
Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams.</li></ul><p></p><p>
At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:</p><ul><li>
Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.</li><li>
Able to work upright and stationary for typical working hours.</li><li>
Ability to use and learn standard office equipment and technology with proficiency.</li><li>
Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.</li><li>
May require as-needed travel (0-20%).</li></ul><p><br>
Location: Remote US- east coast time zone. Relocation assistance is NOT provided.</p><ul><li>Must be legally authorized to work in the United States or Mexico without sponsorship.</li><li>Must be able to pass a comprehensive background check, which includes a drug screening.</li></ul><p><br>
The annual salary range estimated in the US for this position is $80,000- $100,000 USD. Salary range for Mexico will be supplied upon interview. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.</p></div><p></p>

Coforge

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


KeyBank

<div><p><b>Location:</b></p>
4910 Tiedeman Road, Brooklyn Ohio<p></p><p><b>
Department:</b> Contact Center Technology<br>
<b>Experience:</b> 4+ years</p><p></p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
KeyBank is seeking a <b>Lead AI Engineer</b> to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.</p><p>
Unlike a traditional technical lead role, this position is deeply focused on <b>hands-on AI engineering and solution delivery</b>. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.</p><p>
The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.</li><li>
Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.</li><li>
Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.</li><li>
Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.</li><li>
Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.</li><li>
Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.</li><li>
Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.</li><li>
Provide technical mentorship and code review support while contributing directly to development efforts.</li><li>
Establish engineering best practices for AI solution development, testing, deployment, and observability.</li><li>
Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.</li><li>
Ensure solutions comply with security and regulatory requirements (PII / PCI).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><li>
4+ years of software engineering experience, including 2+ years as a <b>Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role</b>.</li><li>
Strong hands-on experience building and deploying AI-powered applications and services.</li><li>
Strong, hands-on experience with Node.js / TypeScript.</li><li>
Proven experience designing and delivering cloud-native solutions on GCP.</li><li>
Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.</li><li>
Solid understanding of microservices architecture, APIs, and distributed systems.</li><li>
Hands-on Kubernetes experience, including GKE cluster setup and platform operations.</li><li>
Experience with IVR, voice bots, conversational AI, or contact center technologies.</li><li>
Strong collaboration skills across engineering, product, and operations teams.</li><li>
Excellent technical judgment, communication, and problem-solving skills.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).</li><li>
Experience developing AI agents, orchestration workflows, and multi-agent solutions.</li><li>
Knowledge of voice flows, call routing, containment, and agent escalation.</li><li>
Experience working in regulated or financial services environments.</li><li>
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.</li><li>
Experience working in Agile delivery models at enterprise scale.</li><li>
Demonstrated experience with Agentic &quot;Vibe Coding&quot; &mdash; rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.</li></ul><p></p><p><i>
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.</i></p><p></p><p>
COMPENSATION AND BENEFITS</p>
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.<p></p><p>
Please click here for a list of benefits for which this position is eligible.</p><p></p><p>
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.</p><p></p>
Job Posting Expiration Date: 09/11/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.<p></p><p>
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.</p><br>
<p></p>
#LI-Remote</div>

Lead AI Engineer

Dechert LLP

<p></p><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><b>ESSENTIAL JOB FUNCTIONS:</b>
</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><br>
</ul><div></div><br>
<div><b>KNOWLEDGE:</b>
 </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><b>SKILLS:</b>
</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><b>INTERESTS:</b>
</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><b>EDUCATION AND EXPERIENCE:</b>
</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>

Eastern Bank

<div><div>Hiring Range: $72,214 - $110,000</div><p><i>
The posted salary range reflects Eastern&rsquo;s expected hiring range. Actual pay may vary based on experience, skills, and market factors; additional compensation may apply. Eastern offers a robust benefits and retirement package. Please see the description of benefits included with this job posting for additional information.</i></p><p></p><p><br>
We are seeking a junior to mid-level AI Engineer to help build and scale enterprise AI capabilities across the bank. This role is responsible for developing AI agents and automated workflows, building retrieval and prompt systems, and supporting the integration and enablement of AI tools within embedded business division roles. This is a hands-on role for someone who thrives at the intersection of technical development and business enablement, translating non-technical use cases into working technical solutions.</p><p><b>
Responsibilities:</b></p><p><b>
Design &amp; Develop AI Solutions</b></p><ul><li>
Build, deploy, and maintain AI agents and automated workflows using platforms such as Claude, Microsoft Copilot, Azure AI Services, Power Platform, and SharePoint.</li><li>
Create scalable retrieval-augmented generation (RAG) pipelines and prompt-engineering frameworks.</li><li>
Prototype and productionize AI solutions that improve day-to-day operations across the bank.</li></ul><p></p><p><b><br>
Partner with Business Teams</b></p><ul><li>
Collaborate with cross-functional teams to understand business processes, pain points, and opportunities for automation.</li><li>
Translate non-technical requirements into clear technical specifications and solution designs.</li><li>
Serve as a trusted technical advisor supporting embedded AI initiatives across business divisions.</li></ul><p></p><p><b><br>
Enhance AI Performance &amp; Reliability</b></p><ul><li>
Develop and optimize retrieval systems, prompt architectures, and agent workflows to improve accuracy and effectiveness.</li><li>
Evaluate and refine AI solutions based on user feedback, performance metrics, and business outcomes.</li></ul><p></p><p><b><br>
Support AI Governance &amp; Administration</b></p><ul><li>
Assist in establishing governance processes for enterprise AI tools, including access management, usage policies, and documentation.</li><li>
Promote responsible AI practices, ensuring compliance with data privacy, security, and regulatory requirements.</li><li>
Support administration and enablement of AI platforms across the organization.</li></ul><p></p><p><b><br>
Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.</li><li>
1-4 years of experience in software engineering, data engineering, machine learning, or a related technical role.</li><li>
Experience working with large language models (LLMs) and enterprise cloud or collaboration platforms.</li><li>
Hands-on experience with AI and LLM platforms such as Claude, OpenAI, Gemini, or similar technologies.</li><li>
Experience with prompt engineering, AI agents, and agent frameworks.</li><li>
Familiarity with Microsoft technologies including Azure, Microsoft Copilot, Power Platform, and Microsoft 365 development or administration tools.</li><li>
Experience working with APIs, MCPs (Model Context Protocol), integrations, and data pipelines.</li><li>
Understanding of AI governance, responsible AI practices, and enterprise AI administration.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent verbal and written communication skills.</li><li>
Ability to translate complex technical concepts into understandable business solutions.</li><li>
Comfortable working independently while collaborating across multiple teams.</li><li>
Experience within financial services or another regulated industry is a plus.</li></ul><div>
At Eastern Bank, we pride ourselves on supporting our employees by offering tremendous opportunity for individual growth. As an inclusive company, we work to ensure that our valued employees are treated fairly, recognized for their individuality, and encouraged to reach their fullest potential. These values have earned us a reputation as a great place to work and provide a strong reason why you should consider a career with us. We are proud to offer comprehensive compensation plans and a benefits program called Total Rewards that includes medical, dental, vision, life and disability insurance, retirement, vacation and tuition reimbursement.</div><br>
<div>
<br>
</div><div>Eastern Bank is an equal opportunity employer. All job applicants will be considered for employment without regard to race, color, religious creed, national origin, sex, sexual orientation, gender identity, genetic information, military service, age, ancestry, or disability.</div><br>
<div>
<br>
</div><div>At Eastern Bank, we are dedicated to building a diverse, equitable, inclusive and authentic workplace. If you&rsquo;re excited about this role but your experience doesn&rsquo;t fully align with every qualification, we still encourage you to apply! You may be just the right candidate for this position or others across the company. Our Recruitment team is waiting to chat with YOU.</div></div>

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