ai solutions architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div>
<div><b>. Mandatory : Must be available to work from office 5 days a week</b><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>374868</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Gen AI Architect

<div></div><div><div><div><div><p><b>GenAI Senior Engineer</b></p>
<div><b>
Role overview</b><br>
We are hiring for the role of Senior AI Engineer with strong expertise in LLMs, GenAI, and solution architecture. The ideal candidate will drive the design, development, and deployment of Generative AI systems, working with tools like Google Vertex AI, Azure OpenAI, and vector databases. This is a senior engineering role that requires deep technical skills and the ability to architect scalable, production-ready AI solutions across enterprise environments.<br>
<br>
<b>Key Responsibilities:</b><br>
<ul><li>Lead the design, development, and optimization of GenAI agents using Google Vertex AI, Azure AI, or similar platforms.</li><li>Architect and implement end-to-end AI solutions using LLMs, APIs, vector databases, and enterprise data sources.</li><li>Build RAG-based (Retrieval-Augmented Generation) pipelines and implement prompt engineering and model fine-tuning.</li><li>Integrate with vector databases such as FAISS, Pinecone, Weaviate, or Milvus to enable intelligent search and retrieval.</li><li>Optimize and maintain scalable AI/ML pipelines for performance, cost-efficiency, and maintainability.</li><li>Collaborate with cross-functional teams to gather requirements, define AI strategies, and lead delivery efforts.</li><li>Mentor junior developers and establish best practices for AI development and deployment.</li></ul></div><div><br>
<br>
<b>Required Skills:</b><br>
<ul><li>Proven experience as a Senior AI Engineer, ML Engineer, or AI Solutions Architect.</li><li>Strong Python skills and hands-on experience with LLMs, GenAI tools, and AI/ML libraries.</li><li>Experience with cloud AI platforms (Google Vertex AI, Azure AI, AWS Bedrock, etc.).</li><li>Knowledge of vector search technologies and embedding-based retrieval.</li><li>Strong understanding of MLOps, model lifecycle management, and scalable AI deployment.</li></ul></div>
<ul><li>Hands-on experience on RAG based applications.</li></ul>
<ul><li>Hands-on experience on prompt engineering along with creation of prompt flow</li></ul>
<p>
 <b>Location: Hyderabad</b></p>
<p><b>
Qualification: B. Tech</b></p><br>
<p></p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>375429</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Generative AI

Accenture

<p><b>Project Role : </b>Data Architect<br>
<b>Project Role Description : </b>Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
<br>
<b>Must have skills : </b>Databricks Unified Data Analytics Platform<br>
<b>Good to have skills : </b>Data Architecture Principles<br>
Minimum <b>12</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various teams to ensure that the data solutions are efficient, scalable, and meet the needs of the organization. Your role will also require you to stay updated with the latest trends in data architecture and analytics, applying best practices to enhance data management processes. Roles &amp; Responsibilities:- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate workshops and discussions to gather requirements and feedback from stakeholders. - Mentor junior professionals in data architecture best practices and methodologies. Professional &amp; Technical Skills:- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling techniques and best practices. - Experience with data integration tools and ETL processes. - Familiarity with cloud data storage solutions and architectures. - Knowledge of data governance and compliance standards. Additional Information:- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Mumbai office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Data Architect

Apple

<div>Imagine what you could do here. At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.<br>
<br>
The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionised entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.<br>
<br>
Apple Operations and Supply Chain delivers to customer promise with revolutionary precision, accuracy and at an immense scale. At the heart of that revolution precision, accuracy and scale are best in class processes and systems.
<br>
<br>
We are seeking an experienced and hands-on Supply Chain Data Solutions Architect to lead the development and deployment of next-generation AI systems in our global supply chain function. This role will focus on implementing cutting-edge Generative AI and Agentic AI solutions, backed by strong Data Engineering practices and supply chain domain expertise.<br>
<br>
<b>Description</b><br>
As a Data Solutions Architect, we look forward to your bridging the gap between AI capabilities and real-world business challenges, driving automation, resilience, and efficiency across the value chain.<br>
<br>
Key responsibilities include :<br>
<br>
AI &amp; Agentic Systems Implementation :<br>
<ul><li>Design, build, and deploy Generative AI and Agentic AI solutions tailored for supply chain use cases (e.g., demand forecasting, scenario planning, exception handling, data monitoring).</li><li>Leverage technologies like LLMs, autonomous agents, reinforcement learning, and reasoning frameworks to power decision-making tools.</li><li>Lead the experimentation and operationalization of AI agents across planning, sourcing, logistics, and fulfillment domains.</li></ul><br>
Data Engineering &amp; Infrastructure :
<br>
<ul><li>Architect scalable data pipelines that ingest, transform, and serve high-quality data for AI/ML workloads.</li><li>Ensure robust data integration from ERP, Supply Chain systems, and third-party APIs (e.g., weather, risk).</li><li>Implement MLOps best practices to manage AI lifecycle: versioning, monitoring, retraining, and governance.</li></ul><br>
Supply Chain Domain Expertise :
<br>
<ul><li>Work closely with cross functional supply chain IT and operations teams to translate business challenges into AI-driven solutions.</li><li>Bring functional understanding across areas like S&amp;OP, inventory management, supplier risk, and transportation optimization.</li><li>Drive continuous improvement through digital twin models, predictive analytics, and scenario simulation.</li></ul><br>
Cross-Functional Leadership :<br>
<ul><li>Collaborate with data scientists, and engineers in a fast-paced agile environment.</li><li>Act as a thought leader in identifying high-value opportunities for AI within the enterprise supply chain.</li><li>Present technical concepts and business value to executive stakeholders clearly and persuasively.</li></ul><br>
<b>
Preferred Qualifications</b><br>
Experience with commercial supply chain platforms (e.g., Kinaxis, Blue Yonder).<br>
Exposure to digital twin and simulation platforms.<br>
Strong storytelling, communication, and stakeholder management skills.<br>
Experience in building and leading cross-functional project teams in a matrixed organization.<br>
<br>
<b>Minimum Qualifications</b><br>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Operations Research, or a related field.<br>
10+ years of experience in data engineering, AI/ML, or analytics roles.<br>
4+ years of hands-on experience with Generative AI (e.g., GPT, Claude, open-source LLMs) and Agent-based architectures (LangChain, AutoGen, etc.).<br>
Strong background in data engineering: SQL, Spark, Python, Airflow, cloud (AWS/GCP/Azure), and data lakes.<br>
Deep understanding of supply chain processes (planning, logistics, procurement, manufacturing).<br>
Familiarity with MLOps tools, vector databases (e.g., Pinecone, FAISS), and AI safety practices.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Data Solutions Architect (WW Operations Business Process Reengineering)

<div><p>Position Overview<br>
We are seeking an experienced AI Lead to architect, develop, and operationalize machine learning and AI solutions across a diverse range of client engagements.This role blends hands-on technical depth with strategic leadership, focusing on the full AI/ML lifecycle &mdash; from data engineering and experimentation to scalable deployment on Kubernetes-powered GPU clusters.<br>
You'll play a pivotal role in driving open-source AI adoption, mentoring teams, and ensuring CGI's AI delivery aligns with industry best practices in MLOps, data governance, and responsible AI.<br>
<br>
Key Responsibilities<br>
<br>
. Lead end-to-end AI/ML solution delivery &mdash; from business problem definition, data preparation, model design, and training to production deployment and monitoring.<br>
. Architect scalable ML pipelines leveraging open-source frameworks such as TensorFlow, PyTorch, scikit-learn, MLflow, and Kubeflow.<br>
. Design and deploy AI workloads on containerized environments using Docker and Kubernetes, optimizing GPU utilization for training and inference.<br>
. Collaborate with data engineers, cloud architects, and business consultants to integrate AI capabilities into enterprise systems.<br>
. Establish and maintain MLOps practices including version control, CI/CD, experiment tracking, and automated retraining.<br>
. Provide technical mentorship and leadership across project teams and client engagements.<br>
. Contribute to AI governance and model explainability frameworks aligned with CGI's responsible AI principles.<br>
. Evaluate emerging AI tools, frameworks, and architectures to drive continuous improvement.<br>
<br>
<br>
Required Qualifications<br>
<br>
. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.<br>
. 8+ years of experience in AI/ML engineering, data science, or applied machine learning roles.<br>
. Strong proficiency in Python and open-source ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).<br>
. Proven experience across the complete ML lifecycle &mdash; from data preprocessing and model training to serving and monitoring.<br>
. Experience with MLOps frameworks such as MLflow, DVC, Airflow, or Kubeflow.<br>
. Working knowledge of containerization and orchestration (Docker, Kubernetes), including running GPU-based ML workloads.<br>
. Hands-on experience in cloud platforms (AWS, Azure, or GCP) and familiarity with their AI/ML ecosystem services.<br>
. Excellent understanding of data pipelines, API integration, and enterprise-scale deployment architectures.<br>
<br>
<br>
Preferred Skills<br>
<br>
. Experience with GPU optimization and frameworks such as CUDA, NVIDIA Triton, or TensorRT.<br>
. Exposure to Large Language Models (LLMs) and fine-tuning of open-source models.<br>
. Prior experience in consulting environments delivering AI-driven client solutions.<br>
. Contributions to open-source ML projects or active participation in AI communities.<br>
. Strong communication and stakeholder management skills, with the ability to translate complex AI concepts into business outcomes.</p><p><b>
Your future duties and responsibilities</b></p><p></p><p><b>
Required qualifications to be successful in this role</b></p><p></p><p><b>
Together, as owners, let&rsquo;s turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.<br>
<br>
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</p></div>

AI Lead

Caterpillar

<div><p><b>Career Area:</b></p>
Engineering<p></p><p><b>
Job Description:</b></p><p><b>
Your Work Shapes the World at Caterpillar Inc.
</b></p><p></p><p>When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p><p></p><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
We are seeking an experienced Senior AI Engineer / Architect to lead the design, development, and deployment of cutting-edge machine learning (ML), deep learning (DL), and generative AI solutions. This role involves full ownership of AI initiatives&mdash;from data strategies and model prototyping to production rollout and lifecycle management. You will collaborate with cross-functional teams to ensure technical solutions align with strategic business objectives.</p><p>
Key Responsibilities</p><h3 class="jobSectionHeader"><b>
AI Architecture &amp; Development</b></h3><ul><li>
Architect and implement scalable ML/DL pipelines: data ingestion, feature engineering, model training, evaluation, and serving.</li><li>
Design, prototype and productionize generative AI applications, including prompt engineering, LLM fine-tuning, and multimodal systems (vision + language).</li></ul><h3 class="jobSectionHeader"><b>
MLOps &amp; Infrastructure</b></h3><ul><li>
Define and enforce MLOps best practices: CI/CD for models, automated testing, monitoring, alerting, and continuous retraining.</li></ul><h3 class="jobSectionHeader"><b>
Integration &amp; Governance</b></h3><ul><li>
Integrate AI solutions with enterprise systems via robust APIs, ensuring compliance with data governance, security, and compliance.</li></ul><h3 class="jobSectionHeader"><b>
Innovation &amp; Research</b></h3><ul><li>
Explore and apply emerging AI techniques (GANs, VAEs, RAG, foundation models) to deliver innovative production features.</li></ul><h3 class="jobSectionHeader"><b>
Leadership &amp; Collaboration</b></h3><ul><li>
Mentor data scientists and engineers, promoting best practices and collaborative knowledge sharing.</li><li>
Partner with product managers and stakeholders to define AI roadmaps, success metrics, and present technical strategies.</li></ul><h3 class="jobSectionHeader"><b>
Project Management</b></h3><ul><li>
Manage project lifecycles&mdash;from requirement gathering and design to deployment, performance tuning, and optimization&mdash;ensuring on-time, high-quality delivery.</li></ul><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field.</li><li>
8+ years of experience, with at least 3 years in a technical leadership or architect role, AI/ML engineering, driving complex AI transformations across domains.</li><li>
Proven experience in working with generative AI technologies (LLMs, vision models, prompt engineering, GANs/VAEs), and RAG architectures, with hands on exposure to GenAI platforms (OpenAI, Azure OpenAI, Hugging Face, Amazon Bedrock)</li><li>
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>
Expertise in containerization (Docker), orchestration (Kubernetes), and pipeline tools (Airflow, MLflow).</li><li>
Experience with LangChain, LangGraph, AST-RAG, and agentic workflows.</li><li>
Familiarity with NLP, computer vision, OCR, and multimodal AI systems.</li><li>
Experience with cloud AI platforms: SageMaker, Azure ML, or Vertex AI.</li><li>
Exposure to big data tools: Spark, Hadoop.</li><li>
Experience in monitoring and logging dashboards like Prometheus, Grafana and ELK stack</li></ul><p>
No Job Description Provided</p><p></p>
Relocation is available for this position.<p></p><p><b>
Posting Dates:</b></p>
October 30, 2025 - November 11, 2025<p></p><p>
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply</p><p></p><p>
Not ready to apply? Join our Talent Community.</p></div><p></p>

Senior 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>Mjd6JBmHb0</p></div>

Lead GenAI Engineer (Application Development)

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