lead ai engineer

Solifi

<div><div>Vacancy Name<div> Lead AI Engineer</div></div> 
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Vacancy No<div> VN781</div></div> 
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Job Title<div> Lead AI Engineer</div></div> 
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Work Location City<div> Bangalore</div></div> 
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About Solifi<div> Solifi deliver a solid financial technology foundation for equipment, working capital, wholesale, and automotive finance firms. At Solifi, we believe that commerce is only as strong as the system it runs on. Our mission is to reshape finance technology by bringing together proven solutions into a singular powerful technology platform designed to help protect and scale financial organizations. We guard our customers by being precise and reliable, we guide their success by combining powerful technology with proven expertise, and we help them grow by unleashing their potential.</div></div> 
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About the Team<div><div><div>
You&rsquo;ll work within Solifi&rsquo;s AI Product Team, a lean, senior group that owns AI products end-to-end from problem discovery to deployment and operations.</div></div> 
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About the Position<div> We&rsquo;re looking for a hands-on full-stack AI engineer who can architect, code, and ship AI-powered products end-to-end, from model integration to frontend experience.
 
 
This role combines the depth of an AI/ML engineer with the breadth of a full-stack developer. You&rsquo;ll build production-grade AI systems that include backend services, frontend interfaces, data integrations, and deployment pipelines.
 
 
You&rsquo;ll be the technical anchor of Solifi&rsquo;s AI product team, working closely with the AI Product Lead, Data Scientist, and Data Engineer to deliver scalable, customer-facing AI features.</div></div> 
<div>
Role and Responsibilities<div> Own architecture and development of full-stack AI solutions - backend, APIs, and frontend experiences.
 
 
Build and deploy production-ready AI applications integrating data pipelines, models, and user interfaces.
 
 
Design and implement backend services (Python/Node) that connect ML models and business logic.
 
 
Develop frontend interfaces (React, Angular, or similar) for pilots, internal tools, and live products.
 
 
Implement model orchestration and inference APIs, with observability and scalability.
 
 
Manage CI/CD, deployment, and monitoring (initially handle MLOps automation within the team).
 
 
Work with Data Scientist and Data Engineer to streamline data flow and model serving.
 
 
Ensure clean architecture, modular design, and strong security/compliance practices.
 
 
Mentor team members and help shape engineering standards and reusable frameworks.</div></div> 
<div>
About You<div><div><div>
Core Engineering:
<ul><li>Proficient in Python and one backend framework (FastAPI, Flask, Node.js, or similar).
</li><li>Strong grasp of microservices, API design, and distributed systems.
</li><li>Solid experience with databases (PostgreSQL, MongoDB, Redis) and message queues (Kafka).
</li><li>Proficient with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
</li><li>Cloud experience with GCP / AWS / Azure (compute, storage, IAM, networking). 
 
Frontend Development:
</li><li>Proficiency with React, Angular, or similar modern frameworks.
</li><li>Experience building interactive dashboards, admin tools, or customer-facing UIs.
</li><li>Strong grasp of JavaScript/TypeScript, HTML/CSS, and integration with REST/GraphQL APIs.
</li><li>Familiarity with frontend testing, performance tuning, and responsive design. 
 
AI Integration:
</li><li>Experience integrating ML or LLM models into production systems (LLMs, RAG, NLP, CV, etc.).
</li><li>Familiarity with LangChain, Hugging Face, or open-source AI serving frameworks.
</li><li>Understanding of model packaging, inference optimization, and monitoring.
</li><li>Experience with vector databases and embeddings pipelines. 
 
Nice to Have
</li><li>Built and deployed AI features for SaaS or financial platforms.
</li><li>Exposure to serverless architectures (Cloud Run, Lambda, etc.).
</li><li>Interest in UX and how AI functionality translates to user experience.
</li><li>Early-stage startup or innovation lab experience (comfortable with ambiguity). 
 
Success in 6&ndash;12 Months
</li><li>Deliver at least two AI features from prototype to production (end-to-end).
</li><li>Establish foundational architecture for Solifi&rsquo;s internal AI platform.
</li><li>Implement monitoring and CI/CD frameworks for AI deployments.
</li><li>Mentor newer engineers and document best practices for AI product builds. 
</li></ul></div></div> 
</div></div> 
<div>Preferred Experience Level<div> 8 years</div></div> 
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Preferred Education Level<div> Bachelor's Degree</div></div> 
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Employment Basis<div> Full Time</div></div> 
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Benefits<div> Group Medical Insurance, Group Personal Accident, Employee Anniversary gift, Loyalty Bonus, Employee Referral Bonus, Rewards and Recognition program, Wellness Allowance, Privilege Leave (PL): 15 days per year, Casual Leave (CL) 12 days per year, Maternity/paternity/Bereavement leave</div></div> 
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Applications Close Date</div></div><div></div>

Lead AI Engineer

EPAM Systems

<div>We are looking for a Lead AI Engineer to design and deliver AI solutions, including chatbots, Q&amp;A systems, and workflow systems for agents.
This position requires staying informed on LLM advancements and driving innovation in AI projects. Join us to expand your expertise in AI engineering and create impactful solutions tailored to client needs.
Responsibilities<ul><li>
Design AI applications such as chatbots, Q&amp;A platforms, and agent workflows</li><li>
Collaborate with clients to identify needs, opportunities, and recommend LLM-based solutions</li><li>
Develop data pipelines, prompt strategies, and datasets to support effective AI models</li><li>
Evaluate AI systems to ensure accuracy, security, scalability, and compliance with industry standards</li><li>
Research and validate technical feasibility while demonstrating business value</li><li>
Stay informed about LLM technologies, frameworks, and methodologies to improve solutions</li></ul>
Requirements<ul><li>
Proficiency in Python and experience with web frameworks like FastAPI</li><li>
Background in leading and mentoring engineering teams</li><li>
Understanding of AI development lifecycles</li><li>
Flexibility to use rapid UI prototyping tools like Streamlit or Gradio</li><li>
Familiarity with LLM platforms and APIs, such as OpenAI, Anthropic, Amazon Bedrock, and Gemini, along with frameworks like LangGraph and LlamaIndex</li><li>
Knowledge of advanced AI integration patterns like RAG and Agents</li><li>
Skills in deploying AI solutions at scale with a focus on performance and cost-efficiency</li><li>
Experience assessing generative AI quality using retrieval, classification, or LLM-based metrics</li><li>
Proven background in AI engineering and delivering machine learning-based solutions</li><li>
Competency in problem-solving with strong attention to detail</li><li>
Strong written and verbal English communication skills (B2+)</li></ul>
Nice to have<ul><li>
Background in designing experiments and conducting A/B testing to optimize models</li><li>
Understanding of retrieval systems, vector search, and ranking algorithms</li><li>
Familiarity with protocols like MCP, A2A, and ACP</li><li>
Experience deploying AI solutions to cloud platforms such as Azure OpenAI, Amazon Bedrock, or GCP Vertex AI or leveraging on-premise options like vLLM</li><li>
Background in working with enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, or Azure AI Foundry</li><li>
Skills in using observability and monitoring frameworks and tools</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

OutSystems

<div>There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems!
<h1 class="jobSectionHeader">About This Role
</h1>As a Lead AI Engineer at OutSystems, you will bridge research innovations and production systems to deploy cutting-edge AI across the full application lifecycle, from design to development and production. You'll work closely with Research Scientists and AI Engineers to transform state-of-the-art models into robust, scalable, and efficient software development experiences. Your expertise will directly impact how developers interact with our platform, making complex development tasks intuitive and accessible.
This role is critical in scaling our AI &amp; Data Platform serving as the foundational layer for OutSystems' growing Artificial Intelligence and Machine Learning initiatives. You will play a key part in ensuring our AI &amp; Data platform meets the demanding requirements of AI/ML model training, evaluation, and serving, supporting our goal to deploy cutting-edge AI across the full application lifecycle.
<h1 class="jobSectionHeader">What You Will Lead/Do or Key Responsibilities
</h1><ul><li>Design of Data/ML/AI systems, cross teams, and in collaboration with multiple stakeholders.
</li><li>Implementation of OutSystems&rsquo; AI platform and services.
</li><li>Design and implement highly available, fault-tolerant systems for serving sophisticated AI models, focusing on reliability, efficiency, and best practices.
</li><li>Deep knowledge of and demonstrated expertise in designing and building a highly scalable data platform for ingesting, processing, storing, and forwarding large amounts of data.
</li><li>Shape data collection strategies and feedback loops, enabling continuous learning and improvement of our AI capabilities and product offerings.
</li><li>Guide, mentor, and elevate the technical capabilities of other AI Engineers, fostering best practices in design, implementation, and AI development.
</li><li>Maintain deep knowledge of the state-of-the-art in AI/ML models, agents, and dev tools, championing the adoption of relevant advancements within the team and company.
</li><li>Interact and collaborate cross-functionally with different teams to identify opportunities and improve our AI products and data infrastructure.
</li><li>Work with Product Engineering teams to turn internal and product requirements into sustainable solutions that enable efficient software engineering and system visibility for our clients.
</li><li>Lead the end-to-end design and development of scalable data platforms and pipelines for ingesting, processing, and storing large-scale data, specifically considering the unique requirements of AI/ML model training, evaluation, feature serving, and inference workloads.
</li><li>Develop architectural patterns and best practices that align with business and technical goals, focusing on cost efficiency and scalability.
</li></ul><h1 class="jobSectionHeader">Qualifications / What You Need To Succeed:
</h1><ul><li>Bachelor's and preferably Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field (e.g., Electrical Engineering, Physics, Statistics).
</li><li>8+ years of hands-on professional experience with 5+ years in SW Engineering and 5+ years in applied AI/ML roles, with a proven track record of delivering impactful products.
</li><li>Demonstrable experience deploying and managing Large Language Models (LLMs) in production environments
</li><li>Proven ability in designing, building, and shipping complex, data-intensive, and scalable systems in a real-world setting.
</li><li>Strong problem-solving skills and programming proficiency, with the ability to architect and implement end-to-end solutions (from data processing and model development to deployment and monitoring). Experience in Python is a must, in C# is valued.
</li><li>Be creative, ambitious and curious. Be resourceful and innovative.
</li></ul>The Longer Story:
<div>OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in.
</div><div>As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities&mdash;but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn&rsquo;t ready, and talent isn&rsquo;t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems. But with the right platform, AI doesn&rsquo;t have to add to the chaos. It can become the breakthrough that brings clarity&mdash;and drives real, enterprise-wide impact. At OutSystems, we&rsquo;ve built that platform, providing the tools necessary for enterprises to overcome these hurdles.
</div><div>We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents&mdash;fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration.
</div><div>OutSystems is a truly global company, with more than 850,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees.
</div><div>Amongst our customers are some of the world's most recognizable brands across diverse industries&mdash;brands like Toyota, Heineken, Bosch, KeyBank, and UCLA. These customers are the reason we have a 4.6 star rating on G2. Their success is ours, and their stories demonstrate tangible ROI and transformational impact. We are a 9x Gartner Magic Quadrant Leader for Low-Code Application Platforms and a multi-year leader in the Forrester Wave. We&rsquo;re recognized not just as leaders but as visionaries with a strong ability to execute, now extending our leadership into the AI and agentic application development arena.
</div>Working at OutSystems
Our goal is to ensure that OutSystems is a place for bright, happy, and motivated people who share a common purpose and take pride in doing excellent work to pursue our vision of providing the AI-powered low-code development platform enterprise leaders trust to build, secure, and evolve their business applications, agents, and core systems. Our culture is focused on our core values of trust, customer success, innovation, and alignment. Our team members operate with transparency, integrity, and accountability, define success through the lens of the outcomes we deliver for our customers, push the boundaries with excellence, and work together toward our shared vision to deliver on what matters most.
What do we have to offer you?
<ul><li>A company that is always growing, changing, and innovating. We challenge each other to innovate in our products, in our team, and how we use our own technology. And we give our teams space to be proactive and creative.
</li><li>Real career opportunities. We care about growth and development. Yes, vertical career progression is a possibility, but it's not the only one. From lateral moves and joining different teams to mastering specialized skills, we support your growth no matter what your goals are.
</li><li>Work colleagues that are as smart, hard-working, and driven as you. We act as one global OutSystems team, taking ownership and working together toward a shared vision.
</li><li>Disrupting the status quo is in our DNA. In fact, it&rsquo;s why our company exists.
</li><li>We ask &ldquo;why&rdquo; a lot. It helps us connect our individual work to the bigger picture and sometimes even uncover a better way.
</li></ul>Are you ready for the next step in your career? Then we&rsquo;d love to hear from you!
OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status or any other status protected by law.</div>

WebDigitalSphere

Job description:We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Recruitment Hub 365

Job Title: Lead Artificial Intelligence / Machine Learning EngineerLocation: Baner, Pune (Hybrid) Experience: 5+ Years Shift Time: 2:00 PM &ndash; 11:00 PM (IST) Notice Period: Immediate to 15 DaysAbout the Role:We are seeking a Lead Artificial Intelligence / Machine Learning Engineer to design, develop, and deploy next-generation AI solutions that drive measurable business outcomes. This role involves leading a team of AI Engineers and Data Scientists, architecting intelligent systems, and implementing scalable AI/ML solutions using Python, NLP, Generative AI, and MLOps.You will collaborate closely with cross-functional teams&mdash;including product managers, business stakeholders, and software engineers&mdash;to deliver end-to-end AI-driven products that enhance decision-making and efficiency.Key Responsibilities, Leadership &amp; Strategy:<ul><li>Lead, mentor, and inspire a team of AI Engineers and Data Scientists to deliver high-impact AI solutions.</li><li>Drive innovation through research, experimentation, and implementation of cutting-edge AI/ML methodologies.</li><li>Ensure alignment of AI initiatives with organizational goals and technical standards.</li></ul>AI / ML Development:<ul><li>Design, develop, and deploy ML models using Python, Scikit-learn, TensorFlow, and PyTorch.</li><li>Build and optimize Natural Language Processing (NLP) and Large Language Model (LLM) applications for real-world use cases.</li><li>Implement Generative AI capabilities to enhance automation, personalization, and data-driven insights.</li></ul>MLOps &amp; Engineering:<ul><li>Develop and maintain end-to-end ML pipelines, integrating with CI/CD and containerization tools (Docker).</li><li>Deploy, monitor, and scale models on cloud platforms (AWS, GCP, or Azure).</li><li>Collaborate with data and software engineers to ensure robust, production-ready architectures.</li></ul>Cross-functional Collaboration:<ul><li>Partner with product, engineering, and business teams to translate requirements into technical solutions.</li><li>Ensure documentation, coding standards, and reproducibility across all AI projects.</li></ul>Mentorship &amp; Growth:<ul><li>Guide and coach junior engineers and data scientists.</li><li>Identify upskilling needs and create learning pathways to strengthen team capability.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, AI, or related field.</li><li>5+ years of hands-on experience in AI/ML or Data Science with real-world implementation.</li><li>Strong proficiency in Python and key libraries (NumPy, Pandas, Scikit-learn).</li><li>Proven experience with NLP, LLMs, or Computer Vision.</li><li>Expertise in ML frameworks such as PyTorch and TensorFlow.</li><li>Hands-on experience in MLOps, CI/CD, and Docker-based deployments.</li><li>Proficiency in Flask, FastAPI, or Django for model integration.</li><li>Experience with cloud services (AWS, GCP, or Azure).</li><li>Familiarity with SQL/NoSQL databases, Git, and version control.</li><li>Strong understanding of software engineering best practices.</li></ul>Preferred Qualifications:<ul><li>Experience with Big Data technologies (Apache Spark, Kafka, Kinesis).</li><li>Exposure to cloud ML platforms like AWS SageMaker or GCP Vertex AI.</li><li>Knowledge of data visualization tools such as Tableau or Power BI.</li><li>Background in GenAI prompt engineering, fine-tuning LLMs, or model optimization.</li></ul>Why Join Us:<ul><li>Opportunity to lead high-impact AI initiatives with real-world applications.</li><li>Collaborative, innovation-driven work culture.</li><li>Access to the latest AI/ML technologies and cloud infrastructure.</li><li>Competitive salary and growth-oriented environment</li></ul>Job Types: Full-time, PermanentPay: &#8377;2,500,000.00 - &#8377;3,500,000.00 per yearApplication Question(s):<ul><li>Please share your total years of experience in Artificial Intelligence / Machine Learning.</li><li>How many years of hands-on experience do you have with Python for AI/ML projects?</li><li>What kind of NLP projects have you worked on (e.g., sentiment analysis, text classification, chatbots, summarization)?</li><li>Do you have practical experience with Large Language Models (LLMs)?</li></ul>Work Location: In person

Lead AI/ML Engineer

CrecenTech

We are looking for a strategic and technically skilled AI/ML Lead to define and drive our organization&rsquo;s artificial intelligence roadmap. This key leadership position blends advanced hands-on AI/ML development with strategic oversight. The ideal candidate will design and deliver scalable AI solutions, lead engineering teams, and embed intelligent capabilities into our core platforms and products. We seek someone who is both visionary and results-driven&mdash;capable of turning complex business needs into real-world, impactful AI applications.Key Responsibilities:<ul><li>Design and deploy end-to-end AI/ML solutions across areas such as:</li><li>Computer Vision: Object detection, OCR, facial recognition</li><li>Natural Language Processing (NLP): Semantic search, chatbots, summarization</li><li>AI Agents &amp; Knowledge Bots: RAG (retrieval-augmented generation), agentic workflows</li><li>Predictive Analytics: Classification, forecasting, and recommendations</li><li>Customize and fine-tune pre-trained and open-source models using production data</li><li>Integrate AI capabilities into platforms such as StaffViz and internal CRMs</li><li>Architect AI systems utilizing vector databases, knowledge bases, and RAG methods</li><li>Mentor engineering teams on AI/ML tools, methodologies, and best practices</li><li>Collaborate closely with DevOps and software teams for smooth deployments</li><li>Stay current with industry advancements in AI, research trends, and tools</li></ul>Required Technical Skills:<ul><li>Strong command of Python, PyTorch, TensorFlow, Scikit-learn</li><li>Experience with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, Haystack</li><li>API development using FastAPI or Flask</li><li>Solid understanding of Docker, Git, and CI/CD workflows</li></ul>Hands-on Expertise In:<ul><li>Computer Vision: YOLOv8, Detectron2, SAM, CLIP, OpenCV</li><li>LLMs/NLP: LLaMA 2, Falcon, Mistral, T5, GPT-J, Zephyr, Orca</li><li>Speech AI: Whisper, Coqui TTS, ESPnet</li><li>AI Agents: CrewAI, AutoGPT, BabyAGI</li><li>Vector Databases: Weaviate, Pinecone, ChromaDB, FAISS</li><li>Predictive Modeling: XGBoost, LightGBM, Prophet</li></ul>Preferred Tools &amp; Experience:<ul><li>Experiment tracking with MLFlow or Weights &amp; Biases</li><li>Familiarity with cloud-based AI services (AWS, GCP, Azure)</li></ul>Leadership &amp; Collaboration:<ul><li>Proven team leadership and mentoring experience</li><li>Strong communication and problem-solving skills</li><li>Ability to manage cross-functional initiatives in dynamic environments</li></ul>Qualifications:<ul><li>8+ years of experience in AI/ML development</li><li>At least 4 years in a technical or team leadership role</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related fields</li><li>Demonstrated success in delivering AI solutions from concept to production</li></ul>Employee Benefits:<ul><li>13 Salaries Per Year (1 Salary as a Bonus)</li><li>At least two bonuses per year (Eid Bonus)</li><li>Monthly Punctuality Allowance</li><li>Monthly Inflation Allowance</li><li>Performance-Based Bonuses</li><li>Annual Leaves Encashment</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Double salary on Gazetted Holidays</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul>Job Location: Model Town Link Road, Lahore Job Timings: Evening ShiftJob Type: Full-timeApplication Question(s):<ul><li>Have you deployed AI/ML models into production environments using tools like FastAPI, Docker, and CI/CD pipelines?</li><li>What are your salary expectations?</li><li>Are you comfortable working evening shifts?</li><li>Have you fine-tuned or deployed large language models (LLMs) such as LLaMA 2, Falcon, or Mistral?</li><li>Are you familiar with cloud AI services like AWS SageMaker, Google Vertex AI, or Azure ML?</li><li>Have you spent a minimum of 4 years in a technical leadership or team lead role?</li></ul>Experience:<ul><li>AI/ML: 8 years (Preferred)</li></ul>Work Location: In person

Senior Lead AI/ML Engineer

<div>Company Profile: 
 
At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. 
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. 
 
Job Title: GenAI Solution Architect / Lead GenAI Engineer 
Position: Lead Analyst 
Experience: 6 Plus 
Category: Software Development 
Main location: Bangalore 
Position ID: J1025-1909 
Employment Type: Full Time
Your future duties and responsibilities
Job Summary: 
We are seeking a highly skilled and innovative GenAI Solution Architect / Lead AI Engineer to design, develop, and optimize Generative AI applications and system architectures. The ideal candidate will have extensive experience in Python, Azure Cloud services, and LLM frameworks (such as vLLM). This role requires a strong foundation in system design, performance optimization (throttling, queuing, refactoring), and the ability to architect scalable AI solutions that deliver real-world business impact. 
 
Key Responsibilities: 
 
Architecture &amp; Design 
 
. Design and implement end-to-end GenAI solutions using Azure OpenAI Services, Azure Machine Learning, and related Azure AI offerings. 
. Create scalable and modular architectures for Generative AI systems, integrating LLMs and prompt orchestration frameworks (e.g., LangChain, Semantic Kernel). 
. Define system design patterns and ensure alignment with performance, reliability, and security standards. 
. Develop and maintain reference architectures and best practices for GenAI solution design and deployment. 
 
Development &amp; Implementation 
 
. Build, fine-tune, and deploy LLM-based applications using frameworks such as vLLM, Hugging Face Transformers, or PyTorch. 
. Implement throttling, caching, and queuing mechanisms to optimize performance and manage compute resource utilization. 
. Lead code refactoring and optimization efforts to enhance efficiency, maintainability, and scalability. 
. Integrate APIs, data pipelines, and vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) into GenAI workflows. 
 
Collaboration &amp; Mentorship 
 
. Collaborate with data scientists, cloud engineers, and product teams to translate business problems into GenAI-driven solutions. 
. Mentor junior developers on AI application design, coding standards, and architecture principles. 
. Participate in code reviews, solution walkthroughs, and performance tuning sessions. 
 
 
Required Skills &amp; Experience: 
 
Technical Expertise 
 
. Strong proficiency in Python with hands-on experience in building and optimizing AI/ML pipelines. 
. Experience with Azure Cloud Platform, including services such as Azure OpenAI, Azure Machine Learning, Azure Functions, and Azure Kubernetes Service (AKS). 
. Deep understanding of LLMs and inference optimization using vLLM, DeepSpeed, or similar frameworks. 
. Expertise in throttling, queuing systems, and asynchronous processing architectures (Celery, Kafka, RabbitMQ, Azure Service Bus, etc.). 
. Experience with code refactoring, performance tuning, and scalable software design principles. 
. Familiarity with vector databases, embedding models, and prompt engineering. 
 
 
Preferred Skills 
 
. Experience with LangChain, Semantic Kernel, or similar orchestration frameworks. 
. Knowledge of containerization (Docker) and orchestration (Kubernetes). 
. Understanding of MLOps, CI/CD pipelines, and monitoring for AI applications. 
. Experience integrating multi-modal AI components (text, image, or speech) in GenAI systems.
Required qualifications to be successful in this role
 Qualifications: 
 
. Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field. 
. 6+ years of experience in software development, with at least 2+ years in GenAI solutioning. 
. Proven experience in designing and deploying AI solutions on Azure Cloud. 
 
 
Other Skills 
 
. Communication and Collaboration: Clearly explain complex AI concepts to diverse audiences, including non-technical stakeholders. Work effectively with cross-functional teams like data scientists, engineers, and product managers to align on project goals. 
. Leadership and Strategic Thinking: Guide and mentor project teams while translating business requirements into a coherent technical vision. Design scalable, robust, and cost-effective AI systems and architectures. 
. Problem-Solving and Critical Thinking: Analyze complex challenges to devise innovative AI solutions. Critically evaluate AI outputs for accuracy, relevance, and potential issues, and troubleshoot problems within the AI pipeline. 
. Adaptability and Continuous Learning: Maintain a strong commitment to lifelong learning to stay current with the rapid evolution of AI technologies, tools, and best practices. Quickly adapt strategies and solutions as the field progresses. 
. Ethical and Responsible AI: Champion ethical AI development by proactively identifying and mitigating biases in models and data. Prioritize data privacy, security, and the creation of transparent and fair AI systems.
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
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. 
 
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. 
 
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.
 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

GenAI Solution Architect / Lead GenAI Engineer

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