cloud ai engineer

Cleary Gottlieb Steen & Hamilton LLP

<div>Overview:
<div>
Cleary Gottlieb is a pioneer in globalizing the legal profession. We have 14 offices in major financial centers around the world, but we operate as a single, integrated global partnership and not as a U.S. firm with a network of overseas locations. The firm employs approximately 1,100 lawyers from more than 50 countries.</div><div></div><div><br>
Since 1946 our lawyers and staff have worked across practices, industries, jurisdictions, and continents to provide clients with simple, actionable approaches to their most complex legal and business challenges, whether domestic or international. We support every client relationship with intellectual agility, commercial acumen, and a human touch.</div><div></div><div><br>
The Enterprise Applications team at Cleary Gottlieb is seeking a motivated, technically savvy, and business-oriented professional to serve as the initial point of technical contact for the firm&rsquo;s cloud-based and AI-powered business applications. This role bridges the gap between business needs and technology solutions, helping departments , configure, optimize, and integrate modern applications while ensuring compliance with the firm&rsquo;s security and governance standards.</div>
Responsibilities:
<ul><li>Serve as the primary technical owner and first point of technical contact for assigned cloud-based and AI applications.</li><li>
Develop a strong understanding of each application&rsquo;s purpose, functionality, and configuration.</li><li>
Partner with business users to gather, analyze, and translate requirements into actionable technical specifications.</li><li>
Learn and perform system administration tasks, including user management, data governance, configuration updates, and troubleshooting.</li><li>
Work with internal IT teams and external vendors to support application integrations, data flows, and enhancements.</li><li>
Assist Business and Product Owners in planning and implementing new application rollouts, upgrades, and feature adoption.</li><li>
Develop and maintain documentation, process guides, and assisting with developing user training materials.</li><li>
Monitor system performance and usage to identify opportunities for improvement.</li><li>
Stay informed on emerging AI and SaaS technologies relevant to the firm&rsquo;s business operations and legal practice areas.</li><li>
Communicate effectively with both technical and non-technical audiences, providing clear updates, recommendations, and training on application capabilities.</li><li>
Serve as the primary contact with the Information Security team to coordinate and complete security assessments, ensuring that assigned applications meet the firm&rsquo;s security, compliance, and data protection standards.</li></ul><br>
<div></div>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Information Systems, Computer Science, Business, or related field (or equivalent experience).</li><li>
5+ years of experience in application administration, business systems configuration, or similar roles.</li><li><b>
Direct, practical experience with AI systems, </b>such as generative AI tools, workflow automation platforms, or AI-enhanced SaaS applications.<ul><li>
Examples include, but are not limited to, <b>ChatGPT, Copilot, Harvey, Legora, or similar AI integration frameworks</b>.</li></ul></li><li>
Proficient in <b>prompt engineering, AI governance, and compliance frameworks</b> related to AI model usage.</li><li>
Solid understanding of SaaS concepts, system integrations (APIs, SSO, etc.), and data governance principles.</li><li>
Demonstrated ability to evaluate and implement AI-driven features, including model configuration, data permissions, and usage governance.</li><li>
Strong ability to learn new applications quickly, develop subject-matter expertise, and translate technical concepts for non-technical users.</li><li>
Excellent communication, problem-solving, and interpersonal skills.</li><li>
Ability to work in a fast-paced environment with competing priorities.</li></ul><div>
 <b>Preferred Qualifications:</b></div><ul><li>
Experience working in a professional services or law firm environment is a plus.</li><li>
Knowledge of <b>legal workflows, document management systems</b>, and enterprise tools such as iManage, Litera, or Intapp.</li></ul><div></div><div><br>
The estimated base salary range for this position is $150,000 to $170,000 at the time of posting. The actual salary offered will depend on a variety of job-related factors, including skills, education, training, credentials, experience, scope and complexity of role responsibilities, geographic location, and performance. This role is exempt meaning it is not overtime pay eligible.</div><div></div><div><br>
Cleary provides a comprehensive benefits package, including health care benefits. More information can be found here: Benefits</div><div></div><div><br>
We are an equal opportunity employer. Consistent with these goals, the firm prohibits any form of discrimination or harassment based on any category protected by law. Cleary provides reasonable accommodations to enable otherwise qualified employees to perform the essential functions of their position, provided the accommodation does not pose an undue hardship to the Firm.</div></div>

Cloud & AI Applications Engineer

Provox Global Solutions

<p>We are looking for a mid-level <b>AI Engineer</b> to support the development of our AI-powered voice and chat systems using <b>DialogFlow CX</b>, <b>Vertex AI</b>, and <b>Gemini API</b>. This role will focus on building, maintaining, and optimizing conversational AI solutions integrated with backend logic on <b>Google Cloud Platform (GCP)</b> for healthcare applications.</p><p><b>Key Responsibilities</b></p><ul><li>Develop and maintain <b>DialogFlow CX</b> conversational agents (voice and chat).</li><li>Integrate <b>DialogFlow Phone Gateway</b> and monitor agent behavior.</li><li>Implement grounding techniques to reduce hallucinations and ensure AI reliability.</li><li>Write <b>Node.js Cloud Functions</b> to handle conversational business logic.</li><li>Integrate external APIs and manage JSON-based data exchange.</li><li>Configure and maintain environments in <b>Google Cloud Platform (GCP)</b>.</li><li>Support <b>Vertex AI</b> and <b>Gemini API</b> integrations for advanced AI capabilities.</li><li>Conduct testing of conversational flows and ensure accuracy and performance.</li></ul><p><b>Required Qualifications</b></p><ul><li><b>2&ndash;3 years</b> experience in AI development or GCP-based environments.</li><li>Hands-on experience with <b>DialogFlow CX</b> and conversational AI tools.</li><li>Proficient in <b>Node.js</b> and working with <b>APIs</b> and <b>JSON</b> structures.</li><li>Understanding of <b>Google Cloud Functions</b> and serverless architecture.</li><li>Familiarity with <b>Vertex AI</b>, <b>Gemini API</b>, or similar LLM integrations.</li><li>Strong debugging, testing, and optimization skills.</li><li>Experience with basic <b>SQL</b> (MySQL) for data logging and tracking.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>This is an on-site position with shift hours from 7 PM to 4 AM Pakistan Time. Are you comfortable with this shift schedule?</li></ul><p>Experience:</p><ul><li>n8n: 1 year (Required)</li><li>DialogFlow : 1 year (Required)</li><li>Google Cloud Platform (GCP).: 1 year (Required)</li><li>Node.js : 1 year (Required)</li></ul><p>Work Location: In person</p>

AI Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader"><b>Lead GenAI Engineer (Application Development)</b></h3><p><b>
Experience:</b> 7&ndash;12+ years<br>
<b>Location:</b> Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan)<br>
<b>Employment Type:</b> Full-time</p><h4 class="jobSectionHeader"><b>
About the Role</b></h4><p>
NorthBay Solutions is seeking a <b>Lead GenAI Engineer (Application Development)</b> with a strong foundation in <b>AI/ML</b>, <b>GenAI solution design</b>, and <b>end-to-end application development</b>. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.</p><h4 class="jobSectionHeader"><b>
Core Responsibilities</b></h4><ul><li>
Design and implement <b>AI-powered enterprise-grade applications</b>, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of <b>8&ndash;12 engineers</b> across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive <b>technical decision-making</b> across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver <b>production-ready GenAI applications</b>, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader"><b>
Technical Requirements</b></h4><p><b>
GenAI Leadership (3+ Years) &ndash; Primary</b></p><ul><li>
Proven experience in developing and deploying <b>GenAI applications</b> in production.</li><li>
Expertise in <b>LLMs (LLAMA, Mistral, GPT, etc.)</b>, including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with <b>Agentic AI</b>, <b>Multi-Agent Systems</b>, and <b>Agentic RAG</b> implementations.</li><li>
Proficiency in <b>Vector Databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and related toolchains.</li><li>
Strong <b>prompt engineering</b> and <b>Chain-of-Thought optimization</b> capabilities.</li></ul><p><b>
AI/ML Foundation (4&ndash;5 Years)</b></p><ul><li>
Hands-on <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b> experience for building ML models and AI pipelines.</li><li>
Expertise in the <b>AI/ML model lifecycle</b> &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into <b>enterprise-grade web or mobile applications</b>.</li></ul><p><b>
Application Development &amp; Architecture (7+ Years)</b></p><ul><li>
Strong background in <b>full-stack development</b> (MERN or equivalent stack).</li><li>
Proven ability to deliver <b>end-to-end applications</b> integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in <b>API development (REST, GraphQL)</b> and <b>microservices architecture</b>.</li><li>
Experience deploying solutions across <b>on-premises, cloud, and hybrid environments</b>.</li><li><b>
Kubernetes</b> for container orchestration and deployment management.</li><li>
Database experience in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</li><li>
Familiarity with <b>DevOps tools</b>: Docker, CI/CD pipelines, and infrastructure automation.</li></ul><p><b>
Cloud &amp; Infrastructure</b></p><ul><li>
Hands-on experience with <b>AWS/Azure/GCP</b> cloud environments and ML services.</li><li>
Experience with <b>AWS SageMaker</b>, <b>Bedrock</b>, <b>Lambda</b>, <b>API Gateway</b>, or equivalents.</li><li>
Understanding of <b>hybrid architecture design</b> integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader"><b>
Proven Delivery</b></h4><ul><li>
Successful delivery of <b>7+ enterprise or AI/ML-driven applications</b>.</li><li>
Demonstrated <b>leadership experience</b> managing cross-functional technical teams.</li><li>
Ability to deliver <b>high-quality, scalable, and secure solutions</b> under tight timelines.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li><b>
Cloud certifications</b> (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent <b>communication and leadership skills</b>, capable of bridging business and technology.</li><li>
Experience working in <b>Agile/Scrum</b> environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader"><b>
Ideal Candidate</b></h4><p>
A hands-on leader with strong expertise in <b>GenAI application development</b>, solid understanding of <b>AI/ML</b>, and a proven background in <b>enterprise software engineering and deployment</b> across cloud and hybrid infrastructures.</p><p>
</p><p>2OWWNNGtq6</p></div>

Lead GenAI Engineer (Application Development)

<div></div><div><div><div><div><ul><div>5 - 7 Years</div>
<div></div><div>3 Openings</div>
 <div>Bengaluru, Chennai, Hyderabad, Kochi, Trivandrum</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>AI/ML Engineer - Required Skills</p>
<ul><li>Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.</li></ul>
<ul><li>Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.</li></ul>
<ul><li>Strong programming skills in at least two of the following: Python, Java, Go.</li></ul>
<ul><li>Proficiency in deploying solutions on Azure Cloud.</li></ul>
<ul><li>Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus).</li></ul>
<ul><li>Proven ability to design and manage Azure Functions and Azure Container Apps.</li></ul>
<ul><li>Strong understanding of cloud-native architecture, scalability, and performance optimization.</li></ul></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Pyspark,Aws Cloud,Machine Learning</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Lead Data Engineering - AI/ML

Oracle

<div><p>Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.Oracle Cloud Infrastructure (OCI) is a strategic focal point for Oracle, offering comprehensive cloud services across IaaS, PaaS, and SaaS. As part of OCI's AI Services, we're creating the future-ready Cloud AI Service, a suite of ML-powered services to modernize enterprises. These services seamlessly integrate with existing OCI offerings, enabling easy AI integration without AI expertise. Join us in crafting the future of Machine Learning by building AI Cloud services that address key gaps in Decision Support, NLP, Vision, and Conversational AI for public clouds and enterprises. Collaborate on challenging AI-cloud intersections, designing scalable infrastructure, and developing AI core services while utilizing modern technologies like Java, Python, Kubernetes, and more. Be a driving force in this dynamic growth journey, contributing to a cutting-edge AI experience on Oracle Cloud.<br>
</p><p></p><p><b>Oracle Cloud Infrastructure (OCI) </b>is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service.
</p><p><b>What OCI AI Cloud Services are: </b>A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services.
</p><p>Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps &ndash; Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI.
</p><p>You&rsquo;re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service.
</p><p>We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models.</p></div><p></p>
<br><div><p><b>What You&rsquo;ll Do
</b></p><p>Develop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models.
</p><p>Building core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others.
</p><p>Brainstorm and Design various POCs using AI Perpetual AI Services for new or existing enterprise problems.
</p><p>Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and addressing external and internal shareholder product challenges.
</p><p>Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes.
</p><p>Experiment with ML models in Python using machine learning libraries (Pytorch, TensorFlow, Jax), BigData, Hadoop, HBase, Spark, etc.
</p><p>Leverage Cloud technology &ndash; Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology.
</p><p><b>Qualifications
</b></p><p>Master&rsquo;s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field.
</p><p>3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments.
</p><p>Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc.
</p><p>Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes).
</p><p>Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models.
</p><p>Experience with performance tuning, scalability, and load balancing techniques.
</p><p>Expert in at least one high-level language such as Java/Pyhton(Java preferred).
</p><p>Expert in at least one scripting language such as Python, Javascript, and Shell (Python preferred).
</p><p>Deep understanding of data structures, and algorithms, and excellent problem-solving skills.
</p><p>Experience or willingness to learn and work in Agile and iterative development and DevOps processes.
</p><p>Strong drive to learn and master new technologies and techniques.
</p><p>You enjoy a fast-paced work environment.
</p><p><b>Additional Preferred Qualifications
</b></p><p>Experience with Cloud Native Frameworks tools and products is a plus
</p><p>Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection &amp; recognition, Information extraction from documents, etc.
</p><p>Having an impressive set of GitHub projects or contributions to open-source technologies is a plus
</p><p>Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus.
</p><p>Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big?
</p><p>Career Level - IC3</p></div>

Senior Member of Technical Staff

Siemens Energy

<div><h2 class="jobSectionHeader"><b>A Snapshot of Your Day:</b></h2><p>
Join a forward-thinking team dedicated to harnessing the transformative power of AI within the energy sector. As an AI/ML Engineer, you will proactively lead the design and delivery of sophisticated, scalable, and resilient Generative AI based solutions on Cloud Based platform, driving the energy transformation and advancing Siemens Energy's strategic goals.</p><p>
In this role, you'll write code, test, and deploy advanced AI applications, in addition to building machine learning models, creating programming interfaces, and making them accessible to existing software!</p><h2 class="jobSectionHeader"><b>
How You&rsquo;ll Make an Impact:</b></h2><ul><li>
Partner with developers in Agile teams to merge LLMs and classical AI into end-user apps, emphasizing user experience and real-time performance.</li><li>
Customize LLMs: Tailor pre-trained models to meet business needs using timely engineering, transfer learning, and few-shot methods.</li><li><b>
Data Hygiene:</b> Collect, clean, and preprocess large datasets to ensure high-quality input for AI models.</li><li><b>
Model Validation &amp; Reporting:</b> Measure and validate the performance of AI models using appropriate metrics. Document AI models, algorithms, and processes, and communicate findings and results to stakeholders.</li><li><b>
Integration:</b> Integrate external knowledge sources including databases, APIs and document repositories to enrich LLM with real time or domain specific information</li><li><b>
Collaboration</b>: Work with data scientists, software engineers, and product managers to integrate AI solutions into products and services</li></ul><h2 class="jobSectionHeader"><b>
What You Bring:</b></h2><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
2-4 years of experience in software development with AI-based applications.</li><li>
2+ years of experience with Python with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Hands on knowledge of AWS and/or Azure Cloud platforms and leveraging their AI based services and integrating hosted ML Models to existing solutions.</li><li>
Ability to integrate LLM and statistical ML models to interfaces using FAST APIs.</li><li>
Proficiency with Deep learning framework such as Keras or TensorFlow.</li><li>
Data Engineering: Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs</li><li>
Familiarity with CI/CD pipelines, Version control using Git, VSCode IDE.</li></ul><h2 class="jobSectionHeader"><b>
About the Team</b></h2><p>
Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities. Candidates want to learn about the divisions they will be joining-the structure, how it works together, and the role it plays in driving Siemens Energy&rsquo;s mission forward.</p><p><b>
Who is Siemens Energy?</b></p><p>
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.</p><p>
Our distributed team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.</p><p>
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo</p><h2 class="jobSectionHeader"><b>
Our Commitment to Diversity</b></h2><p>
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character &ndash; no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.</p><h2 class="jobSectionHeader"><b>
Rewards/Benefits</b></h2><ul><li>
All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.</li><li>
Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy.As a part of CTC, tax saving measure</li><li>
Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best Possible net income out of the same fixed individual base pay on a monthly basis.</li></ul><h2 class="jobSectionHeader"><b>
https://jobs.siemens-energy.com/jobs</b></h2></div>

AI ML Developer

The Cigna Group

<div><p><b>This position will:</b></p><ul><li>
Develop, integrate, and deploy Gen AI/Agentic AI solutions leveraging AWS for data engineering and Azure OpenAI for LLM-based applications</li><li>
Translate business and technical requirements into robust, scalable, and maintainable code</li><li>
Collaborate closely with architects, data engineers, and data scientists to deliver high-quality solutions</li><li>
Maintain high standards for code quality, documentation, and testing</li><li>
Continuously learn and apply new tools and techniques in AI/ML and cloud development</li><li>
Support troubleshooting, optimization, and enhancement of existing AI solutions</li><li>
Work collaboratively with ServiceNow and Workday teams to ensure AI components integrate smoothly with the virtual assistant and HR workflows</li></ul><div><p><b>
Responsibilities:</b></p></div><p></p><p>
Understand and respect the boundaries of responsibility, providing technical support for integrations without direct development on ServiceNow or Workday&lt; &gt;Implement Gen AI/Agentic AI use cases for the HR functionDevelop and maintain data pipelines on AWS for ingestion, transformation, and storage of structured and unstructured HR dataIntegrate Azure OpenAI LLMs with AWS-based data sources and HR applications, ensuring secure and efficient data flowBuild and maintain APIs and microservices to support AI-driven HR processes and system integrationsCollaborate with data scientists to operationalize models, including fine-tuning, evaluation, and deploymentWrite unit, integration, and end-to-end tests to ensure solution reliability and performanceDocument technical designs, code, and deployment processes for maintainability and knowledge sharingParticipate in code reviews, provide constructive feedback, and contribute to team best practicesSupport the integration of AI outputs with ServiceNow and Workday and other HR solutions by developing and maintaining well-documented APIs and data exchange mechanismsEngage in joint troubleshooting and validation sessions with ServiceNow and Workday teams to resolve integration issues</p><div><p><b>
Qualifications:</b></p></div><p></p><p><b>
Education:</b></p><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</p><p><b>
Experience:</b></p><p></p><p>
3+ years of experience in AI/ML or software development, with exposure to cloud-based environments</p><p><b>
Required Qualifications:</b></p><p></p><p>
Proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, Hugging Face)Experience with AWS data engineering tools (e.g., S3, Glue, Redshift) and pipeline developmentHands-on experience integrating and consuming Azure OpenAI or similar LLM APIsFamiliarity with RESTful API development and microservices architectureUnderstanding of data security, privacy, and compliance considerationsExperience working in collaborative, multi-team environments, especially on projects with platform integrations</p><p><b>
Preferred Qualifications:</b></p><p></p><p>
Certifications in AWS or Azure cloud platformsExperience with Gen AI frameworks (e.g., LangChain, LlamaIndex)Knowledge of HR domain processes and integrations with systems like WorkdayExperience with CI/CD pipelines and DevOps practicesStrong problem-solving, analytical, and communication skillsExposure to agile development methodologiesFamiliarity with ServiceNow and Workday integration concepts is a plus
</p><p></p><p><b>About Evernorth Health Services</b></p><div><div><div><div><div><div><div><p>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</p></div></div></div></div></div></div></div></div>

HIH - Application Development Senior Analyst

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