ai integration engineer

Siemens

<div>Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a &ldquo;AI Integration &amp; Deployment Engineer&rdquo;. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!

The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.

This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.

Additionally, the role involves designing AI-driven data understanding layers &mdash; tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.

The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics. 

Responsibilities
<ul><li>Design, implement, and maintain AI-powered integrations within enterprise digital platforms</li></ul>
<ul><li>Develop RESTful APIs and backend microservices for connecting internal systems with AI services</li></ul>
<ul><li>Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines</li></ul>
<ul><li>Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms</li></ul>
<ul><li>Ensure adherence to corporate standards on data privacy, access control, and cybersecurity</li></ul>
<ul><li>Conduct functional and performance testing of deployed AI services</li></ul>
<ul><li>Monitor and continuously optimize AI workloads in production environments</li></ul>
<ul><li>Design data labeling and embedding strategies to make enterprise datasets searchable through AI.</li></ul> 

Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, Electrical-Electronics, or Artificial Intelligence</li></ul>
<ul><li>(Must have)Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact</li></ul>
<ul><li>Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, or similar technologies)</li></ul>
<ul><li>Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Hugging Face APIs</li></ul>
<ul><li>Working knowledge of relational or analytical databases (e.g., MySQL, Snowflake)</li></ul>
<ul><li>Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search principles</li></ul>
<ul><li>Experience working in secure, large-scale enterprise software environments</li></ul> 

Preferred Skills
<ul><li>Familiarity with prompt engineering and model tuning concepts</li></ul>
<ul><li>Experience in transforming tabular and textual datasets into knowledge graphs or AI-queryable structures</li></ul>
What We Offer?<div>
<ul><li>Speaking up Culture</li></ul>
<ul><li>Respectful Workplace</li></ul>
<ul><li>Being part of a global work environment</li></ul>
<ul><li>Attractive remuneration package</li></ul>
<ul><li>Excellent recognition tools providing spot awards</li></ul>
<ul><li>Learning &amp; Development opportunities for both personal and professional growth</li></ul>
<ul><li>Leave days for parents and a variety of flexible working models that allow time off for yourself and your family</li></ul>
<ul><li>Creche allowance for mothers</li></ul>
<ul><li>Share matching programs to become a shareholder of Siemens AG</li></ul>
<ul><li>Remote working and remote living flexibility only for relevant positions</li></ul>
<ul><li>Find more benefits here</li></ul></div> 
Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.
&ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
Please find more information from our web site:
https://new.siemens.com/tr/tr.html 
#LI-HYBRID</div>

AI Integration & Deployment Engineer

Try Soft Ai

Job SummaryWe are looking for a highly skilled Full Stack Engineer with strong expertise in the MERN stack, Python backend development, and AI-powered application integration. The ideal candidate will design, develop, and maintain scalable web applications, APIs, and intelligent systems using modern JavaScript frameworks, Python services, and AI/ML technologies.You will work across the entire software development lifecycle &mdash; from frontend UI/UX implementation to backend architecture, cloud deployment, database optimization, and AI feature integration.This is an ONSITE Role based in DHA Phase 2, Islamabad, PakistanKey Responsibilities Frontend Development(MERN)React.js Development<ul><li>Build responsive, scalable, and high-performance web applications using React.js.</li><li>Develop reusable UI components and frontend libraries.</li><li>Implement state management using:</li><li>Redux</li><li>Context API</li><li>Zustand / Recoil (optional)</li><li>Optimize applications for:</li><li>Performance</li><li>SEO</li><li>Accessibility</li><li>Mobile responsiveness</li></ul>UI/UX Integration<ul><li>Convert Figma/Adobe XD designs into responsive interfaces.</li><li>Work with Tailwind CSS, Material UI, Bootstrap, or Chakra UI.</li><li>Implement animations and interactive experiences.</li></ul>Frontend Architecture<ul><li>Implement modular and scalable component architecture.</li><li>Handle client-side routing using React Router.</li><li>Integrate frontend with REST APIs and GraphQL services.</li></ul>Backend DevelopmentNode.js &amp; Express.js<ul><li>Develop scalable RESTful APIs using Node.js and Express.js.</li><li>Implement:</li><li>Authentication &amp; authorization</li><li>Role-based access control (RBAC)</li><li>API security best practices</li><li>Build microservices and event-driven systems.</li><li>Manage middleware, request validation, and error handling.</li></ul>Python Development<ul><li>Develop backend services using Python frameworks such as:</li><li>FastAPI</li><li>Flask</li><li>Django (optional)</li><li>Build AI/ML service layers and data-processing pipelines.</li><li>Create automation scripts, ETL jobs, and AI integrations.</li><li>Design asynchronous processing systems using:</li><li>Celery</li><li>RabbitMQ</li><li>Kafka</li></ul>AI &amp; Machine Learning ResponsibilitiesAI Integration<ul><li>Integrate AI APIs such as:</li><li>OpenAI APIs</li><li>Anthropic APIs</li><li>Gemini APIs</li><li>Hugging Face models</li><li>Build AI-powered features including:</li><li>Chatbots</li><li>AI assistants</li><li>Recommendation systems</li><li>Semantic search</li><li>Document summarization</li><li>OCR pipelines</li><li>n8n</li></ul>LLM Application Development<ul><li>Implement Retrieval-Augmented Generation (RAG) systems.</li><li>Build vector database integrations using:</li><li>Pinecone</li><li>Weaviate</li><li>ChromaDB</li><li>FAISS</li><li>Create prompt engineering pipelines.</li><li>Fine-tune and evaluate AI model outputs.</li></ul>AI InfrastructureWork with:<ul><li>LangChain</li><li>LlamaIndex</li><li>Haystack</li><li>Build AI workflows and agent systems.</li><li>Optimize AI inference performance and token usage.</li><li>n8n</li></ul>Database ManagementMongoDB<ul><li>Design scalable NoSQL database schemas.</li><li>Implement aggregation pipelines and indexing strategies.</li><li>Optimize database performance.</li></ul>SQL Databases (Optional but Preferred)<ul><li>PostgreSQL</li><li>MySQL</li></ul>Vector Databases<ul><li>Manage embeddings and semantic search infrastructure.</li></ul>Cloud &amp; DevOps ResponsibilitiesCloud PlatformsExperience with:<ul><li>AWS</li><li>Azure</li><li>Google Cloud Platform (GCP)</li></ul>Deployment &amp; Infrastructure<ul><li>Containerize applications using Docker.</li></ul>Security Responsibilities<ul><li>Implement secure authentication:</li><li>JWT</li><li>OAuth</li><li>Firebase Auth</li><li>Auth0</li><li>Prevent vulnerabilities:</li><li>XSS</li><li>CSRF</li><li>SQL Injection</li><li>NoSQL Injection</li><li>Secure APIs and AI endpoints.</li><li>Build CI/CD pipelines using:</li><li>GitHub Actions</li><li>GitLab CI/CD</li><li>Jenkins</li></ul>Deploy applications using:<ul><li>Kubernetes</li><li>Docker Compose</li><li>Vercel</li><li>Netlify</li><li>Render</li></ul>Required Technical SkillsCore TechnologiesFrontend<ul><li>React.js</li><li>JavaScript (ES6+)</li><li>TypeScript</li><li>HTML5</li><li>CSS3</li><li>Tailwind CSS</li></ul>Backend<ul><li>Node.js</li><li>Next.js</li><li>Express.js</li><li>Python</li><li>FastAPI / Flask</li></ul>Databases<ul><li>MongoDB</li><li>Redis</li><li>PostgreSQL (preferred)</li></ul>AI/ML<ul><li>OpenAI API</li><li>LangChain</li><li>Vector databases</li><li>Embeddings</li><li>Prompt engineering</li><li>n8n</li></ul>Preferred Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science or related field.</li><li>4+ years of Full Stack development experience.</li><li>Experience building AI-enabled SaaS products.</li><li>Experience with scalable cloud-native architectures.</li><li>Familiarity with MLOps concepts.</li><li>Experience with real-time applications using:</li><li>WebSockets</li><li>Socket.IO</li></ul>This is an ONSITE Role based in DHA Phase 2, Islamabad, PakistanWork Location: In person

Full Stack Engineer

The Ghani IT Solutions

Role Overview:We are seeking an exceptionally skilled Senior Full-Stack Developer to lead the development of a mission-critical, high-performance intelligence platform. You will be responsible for building complex, real-time data visualization systems and integrating advanced geospatial layers with a custom AI-driven communication engine. This role requires a &quot;T-shaped&quot; engineer with deep expertise across the entire stack&mdash;from low-latency backends and high-concurrency data processing to sophisticated, interactive frontends.Key Responsibilities:- Full-Stack Architecture: Design and implement scalable, secure, and high-availability web applications from scratch using modern frameworks.- Geospatial Engineering: Develop multi-dimensional GIS (Geographic Information System) layers to visualize dynamic footprints and localized data zones using advanced mapping tools.- Real-Time Data Integration: Architect custom communication gateways and manage full-duplex data streaming via high-speed WebSockets.- Intelligence Dashboards: Build sophisticated, real-time dashboards that aggregate disparate data feeds into intuitive, actionable visual intelligence for monitoring and decision-making.- AI &amp; NLP Integration: Collaborate with AI engineers to integrate LLM-driven insights, automated data parsing, and intelligent alerting systems into the core platform.- Database Management: Design and optimize complex schemas for both relational and geospatial databases to ensure sub-second query performance on large datasets.Technical Requirements:- Frontend: Mastery of React.js or Next.js with expertise in advanced state management and real-time data visualization.- Backend: Advanced proficiency in Node.js (TypeScript) or Python (FastAPI/Django) for building high-concurrency microservices.- Geospatial Tools: Professional-level experience with ArcGIS API for JavaScript, Mapbox GL JS, or OpenLayers.- Databases: Deep knowledge of PostgreSQL with PostGIS for executing complex spatial queries. Familiarity with NoSQL and Redis for real-time caching is a plus.- AI Awareness: Solid understanding of integrating AI/ML models, RAG (Retrieval-Augmented Generation) workflows, and working with Vector Databases.- Infrastructure: Proven experience with Docker, Kubernetes, and managing real-time data streaming or communication protocols on AWS, GCP, or Azure.- Language Proficiency: Expert-level command over multiple programming languages (JavaScript/TypeScript, Python, and SQL).Location: DHA Phase 6, Karachi Shift: MorningWork Location: In person

Senior Full-Stack Developer (Real-Time Systems & Intelligence Platforms)

State Farm

<div>
 
 Overview
 
 
 
 Being good neighbors &ndash; helping people, investing in our communities, and making the world a better place &ndash; is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
 
 
 
 HYBRID:
 
 Qualified candidates must live or relocate within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
 
 
 
 HUB LOCATIONS:
 
 Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ
 
 
 
 SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.
 
 
 
 
 Responsibilities
 
 
 
 
 Grow Your Skills, Grow Your Potential
 
 
 
 State Farm is a leader in building with modern, trending AI technology. The Power Platform team is hiring a software engineer to add to our growing enablement of AI technology. We are building a Future-Ready technology Platform!!
 
 
 Software engineers skilled in AI technologies and developer tooling including Model Context Protocol (MCP), agentic orchestration, A2A protocol, and large language model integration to mature platform capabilities in the organization will be competitive for this role. We work closely with our Microsoft engineering and product partners to enable the newest capabilities.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, build, and maintain AI-driven orchestration pipelines that coordinate LLMs, connectors, and enterprise data sources across the Power Platform ecosystem.
 </li>
 <li>
 Develop agentic and autonomous workflows using emerging AI capabilities (Copilot Studio, agentic orchestration patterns, MCP, A2A protocol) to enable self-directed task execution and multi-stop reasoning.
 </li>
 <li>
 Implement Model Context Protocol (capital MCP) integrations to unify model access to enterprise systems, ensuring secure, governed, and scalable interactions between AI agents and organizational data.
 </li>
 <li>
 Engineer reusable AI components and abstractions (skills, actions, connectors) that accelerate adoption of AI across business areas and reduced duplication of effort.
 </li>
 <li>
 Collaborate with Microsoft product and engineering teams to evaluate and adopt new AI platform features, providing feedback that shapes roadmap alignment for enterprise scenarios.
 </li>
 <li>
 Build guardrails, patterns, and governance controls for AI agents, ensuring responsible use, audit trail, and compliance with enterprise security policy.
 </li>
 <li>
 Optimize LLM-powered experiences by tuning prompts, grounding knowledge, retrieval pipelines, and context management patterns for reliability and performance at scale.
 </li>
 <li>
 Develop telemetry, monitoring, and observability frameworks to track agent behavior, model performance, and orchestration health across distributed AI workloads.
 </li>
 <li>
 Partner with product owners and business stakeholders to translate ambiguous AI opportunities into concrete technical solutions that deliver measurable business value.
 </li>
 <li>
 Drive experimentation and rapid prototyping of new AI capabilities, validating feasibility and guiding enterprise adoption strategies.
 </li>
 <li>
 Contribute to internal enablement and best practice documentation to uplift engineering teams building AI powered solutions on the power platform.
 </li>
 <li>
 Contribute to Community uplift and support, creating a culture unique to our organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Must have:
 
 
 <ul>
 <li>
 3+ years of professional full stack development software engineering experience using Javascript/React and Python
 </li>
 <li>
 Experience with the Model Context Protocol (MCP) or similar tool-use frameworks for LLMs
 </li>
 <li>
 Experience working with or integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock, or similar)
 </li>
 <li>
 Solid understanding of modern software development workflows including CI/CD, version control (Git), and code review practices
 </li>
 <li>
 Hands-on experience building or customizing agentic AI workflows (e.g., multi-step autonomous coding agents, spec driven development, etc.)
 </li>
 <li>
 Familiarity with IDE ecosystems and developer tooling (e.g., VS Code extensions, CLI tools)
 
 
 </li>
 </ul>
 Nice to have:
 
 
 <ul>
 <li>
 Familiarity with Power Platform
 </li>
 <li>
 Contributions to open-source projects related to AI, developer tooling, or code generation
 </li>
 <li>
 Strong problem-solving skills and ability to work independently as well as collaboratively
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Significant multi-tasking skills
 
 
 </li>
 </ul>
 
 Our Benefits
 
 
 
 Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
 
 
 <ul>
 <li>
 Potential starting salary range: $97,000 - $123,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.)
 </li>
 <li>
 Potential yearly incentive pay up to 15% of base salary
 
 
 </li>
 </ul>
 
 At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
 
 
 
 <ul>
 <li>
 Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
 </li>
 <li>
 Stay Well! Focus on you and your family&rsquo;s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
 </li>
 <li>
 Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
 </li>
 <li>
 Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
 </li>
 <li>
 Take a Little &ldquo;You&rdquo; Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
 </li>
 <li>
 Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
 </li>
 <li>
 Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
 
 
 </li>
 </ul>
 Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!
</div>

AI Engineer (LLM)

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
You will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery. 
You will: 
<ul><li>
Work directly with customers from the Oil, Gas &amp; Energy industry and the Chemicals industry in KSA to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
</li><li>Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/ integration (SAP Business AI/ BTP services), and UI/process integration.
</li>Run agile cycles (PoC pilot<li> production), gather user feedback, and drive adoption in real business processes.
</li><li>Act as the &ldquo;bridge&rdquo; between Riyadh Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap.
</li><li>Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across KSA and the region.</li></ul> 
Core responsibilities / expectations:
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus.<ul><li>
Strong software engineering background (e.g., Python/ Java/ TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, supply chain, HR, public sector).</li><li>
Solid grounding in data and AI/ ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).</li><li>
End to End process knowledge of relevant fundamental Oil &amp; Gas processes such as Asset Management., Finance, Procurement, Logistics in Up-, Mid- and Downstream.</li><li>
End to End process knowledge of relevant fundamental Chemicals processes in Product Lifecycle Management, Production Planning, Environmental, Health &amp; Safety.</li><li>
Knowledge of the utilities market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio</li><li>
Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.</li><li>
Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.</li></ul> 
Meet your Team:
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia and the United Arab Emirates. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters.
This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450207 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

AI Product Expert for Oil & Gas

Cooley LLP

<div>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.
Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes&mdash;from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:
Position responsibilities:<ul><li>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</li><li>
Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable</li><li>
Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria</li><li>
Working with Knowledge Management and practitioners, create/maintain the workflow&rsquo;s &ldquo;source of truth&rdquo; (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates</li><li>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</li><li>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</li><li>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</li><li>
Coordinate training, support, documentation and resource material in support of processes and systems</li><li>
Engage with end-users to gather feedback, observe and map routines and processes</li><li>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Ability to work extended and/or weekend hours, as required</li><li>
Ability to travel, as required</li><li>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</li><li>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</li><li>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</li><li>
Experience designing and implementing retrieval-grounded generation in permissioned environments</li><li>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s degree</li><li>
Working knowledge of business analysis, knowledge management, information systems or other-related field</li><li>
Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys</li><li>
Knowledge of legal concepts related to the business of the firm and the legal industry</li><li>
Familiarity with agile development methodologies</li><li>
Experience engaging with end-users to gather feedback, observe and map routines and processes</li><li>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</li><li>
Excellent attention to detail</li><li>
Excellent analytical skills</li><li>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</li><li>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</li><li>
Strong customer focus, with an emphasis on efficient and effective communications</li><li>
Solid relationship management, presentation and collaboration skills</li><li>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</li><li>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</li><li>
Entrepreneurial by nature</li><li>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</li><li>
Ability to drive projects to completion and achieve goals</li><li>
Team-player with collaborative spirit</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.
EOE.
The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 21 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</div>

Artificial Intelligence (“AI”) Solutions Engineer

Software Engineer, Product

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