agentic ai engineer

Cinnova International

Job Overview:Cinnova is seeking an Agentic AI Engineer with 3 to 4 years of experience in AI-driven automation, workflow orchestration, and applied ML development. The role focuses on building and deploying multi-step agent workflows using state-of-the-art frameworks and automation platforms. The engineer will work closely with senior architects to convert requirements into stable, production-ready agentic solutions.Key Responsibilities:Agentic AI Development <ul><li>Build multi-step AI agent workflows using platforms such as Microsoft Copilot Studio, Azure AI Studio Agents, AWS Bedrock Agents, or automation tools like n8n and Make.</li><li>Implement intelligent retrieval, planning, tool calling, and step-by-step task automation using LangChain, LlamaIndex, or similar libraries.</li><li>Deploy and configure agent pipelines that integrate external APIs, databases, vector stores, RPA tools, and enterprise business systems.</li><li>Ensure workflows are reliable, observable, recoverable, and optimized for latency and cost. AI and ML Engineering</li><li>Train, fine-tune, or evaluate smaller models and embeddings for specific tasks.</li><li>Configure and deploy inference endpoints using AWS Sagemaker, Azure ML, GCP Vertex AI, or on-prem platforms such as MLflow or Kubeflow.</li><li>Manage model versioning, monitoring, experiment tracking, and data pipelines.</li></ul>Automation and Integration<ul><li>Build automations that connect AI agents with CRMs, ERPs, internal tools, ticketing systems, or cloud services.</li><li>Create reusable components for agent invocation, memory management, prompt templates, and decision trees.</li><li>Work closely with DevOps to ensure stable deployments, CI/CD, and secure execution. Quality, Testing, and Reliability</li><li>Conduct stress testing, fallback logic design, and scenario validation for agentic systems.</li><li>Identify failure modes and implement error handling, guardrails, and human-in-the-loop controls.</li></ul>Required Qualifications: <ul><li>3 to 4 years of experience in AI engineering, automation engineering, or ML implementation.</li><li>Hands-on experience with LangChain, LlamaIndex, or similar frameworks for agent development.</li><li>Experience using agent platforms such as Microsoft Copilot Stack, Azure AI Studio Agents, AWS Bedrock Agents, n8n, Make, or equivalent.</li><li>Familiarity with open-source ML tools: Kubeflow, MLflow, Ray, or similar.</li><li>Experience working with AWS, Azure, or GCP for deploying AI workloads.</li><li>Strong experience building workflows that integrate APIs, data pipelines, vector stores, and external systems.</li><li>Strong skills in Python or JavaScript for implementing agent logic.</li></ul>Perks and Benefits:<ul><li>Competitive Salary</li><li>Provident Fund and Medical Allowances</li><li>Professional Training and Certifications</li><li>Paid Time Off</li><li>Semi-Annual Performance Bonus and Awards</li><li>Hajj/Umrah Leaves</li><li>Maternity/Paternity Leaves</li><li>Wedding Leaves</li><li>Long Service Bonus and Awards</li><li>Friday Lunch</li><li>Company Sports, Game Nights, Dinners</li><li>Fun and Dynamic Working Environment</li></ul>About Cinnova:Cinnova is an innovation-focused software development company helping startups and established firms with their MVPs, product design, and ongoing software development needs. With a proven track record of contributing to continuous growth, Cinnova has been part of rapid expansions and some great exits for our clients. From Blockchain technology to IoT development, AI, Machine Learning, and beyond, we have always been at the forefront of the technology landscape by bringing innovation to both startups and growth companies.Cinnova = (C)reativity + (innova)tion. This is our guiding principal both internally for our employees and externally for our customers. With that in mind, we promote a startup culture and encourage innovative ideas to incorporate in our delivery to our clients. This has been very successful as we are proud to have members who come from a startup background and continue to help Cinnova being an innovation hub.Job Type: Full-timeWork Location: In person

Agentic AI Engineer

Calsoft

<div>
 
 Job Title: AI/ML Engineer &ndash;
 
 
 GenAI / Agentic AI
 
 
 Experience: 3+ Years
 
 
 Location: Pune / Indore / Bangalore / Kolkata Role
 
 
 Summary
 
 
 We are looking for an experienced AI/ML Engineer &ndash; GenAI / Agentic AI to design, build, and deploy intelligent, autonomous AI systems. The role involves working on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI frameworks to solve real-world enterprise problems. Key Responsibilities
 
 
 &bull; Design, develop, and deploy Generative AI and Agentic AI solutions using LLMs
 
 
 
 
 
 &bull; Build and optimize RAG pipelines with vector databases (FAISS, Pinecone, Weaviate, etc.)
 
 
 &bull; Develop multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI
 
 
 &bull; Integrate LLMs with enterprise systems, APIs, tools, and workflows
 
 
 &bull; Fine-tune and prompt-engineer LLMs for domain-specific use cases
 
 
 &bull; Implement evaluation, monitoring, and guardrails for GenAI systems
 
 
 &bull; Collaborate with product, data, and cloud teams for scalable deployment
 
 
 &bull; Ensure performance, cost optimization, security, and compliance
 
 
 Mandatory Skills
 
 
 &bull; Python (Strong proficiency)
 
 
 &bull; AI/ML fundamentals &ndash; NLP, Deep Learning, Transformers
 
 
 &bull; Generative AI &amp; LLMs (OpenAI, Azure OpenAI, Gemini, Anthropic, LLaMA, etc.)
 
 
 &bull; Agentic AI frameworks &ndash; LangChain / LangGraph / AutoGen / CrewAI
 
 
 &bull; RAG architecture and vector databases
 
 
 &bull; Prompt engineering &amp; LLM orchestration
 
 
 &bull; REST APIs, microservices integration Good to Have
 
 
 &bull; Fine-tuning LLMs (LoRA, PEFT)
 
 
 &bull; Experience with MLOps / LLMOps (MLflow, Kubeflow, monitoring tools) &bull; Cloud platforms: AWS / Azure / GCP
 
 
 &bull; Knowledge of Docker, Kubernetes
 
 
 &bull; Experience in enterprise use cases (BFSI, Healthcare, Retail, Telecom) Qualifications
 
 
 &bull; B.E. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field
 
 
 &bull; 5+ years of hands-on experience in AI/ML with recent focus on GenAI / Agentic AI Why Join Us
 
 
 &bull; Work on cutting-edge Agentic AI &amp; GenAI platforms
 
 
 &bull; Opportunity to build autonomous, production-grade AI systems
 
 
 &bull; High-impact enterprise projects &bull; Collaborative and innovation-driven environment
 
</div>

Data Scientist

Edge

<div>
 
 
 About Edge
 
 
 
 Edge is on a mission to remove geographic borders as barriers to full-time employment and fair wages. We&rsquo;re building a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we give companies a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team redefining how people work together.
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior AI/ML Engineer (Agentic AI)
 
 to architect and implement autonomous, goal-driven AI agents. This role is ideal for someone experienced in multi-agent systems, orchestration frameworks, and deploying complex LLM-based agents that can reason, plan, and act in dynamic environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Agentic System Design
 
 &ndash; Design and deploy multi-agent or hierarchical reasoning systems capable of planning, self-correction, and collaboration.
 </li>
 <li>
 
 LLM Orchestration
 
 &ndash; Build long-running pipelines using frameworks such as LangGraph, AutoGen, or similar to manage memory, tool-use, and context.
 </li>
 <li>
 
 Tool &amp; Data Integration
 
 &ndash; Connect agents to APIs, knowledge graphs, and vector databases (e.g., Pinecone, Weaviate, Milvus) to enable autonomous decision-making.
 </li>
 <li>
 
 Data &amp; Infrastructure
 
 &ndash; Develop and maintain data pipelines and embedding stores; implement ETL/ELT workflows.
 </li>
 <li>
 
 Optimization &amp; Scaling
 
 &ndash; Fine-tune and optimize LLMs for performance, cost, and safety; implement monitoring and feedback loops.
 </li>
 <li>
 
 Cross-Functional Collaboration
 
 &ndash; Partner with product, engineering, and compliance teams to align agent behavior with business goals and regulatory requirements.
 </li>
 </ul>
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Demonstrated experience designing and deploying agentic or multi-agent AI systems.
 </li>
 <li>
 Deep understanding of transformer architectures and advanced prompt-engineering strategies.
 </li>
 <li>
 Strong Python skills and expertise with orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.).
 </li>
 <li>
 Proficiency in building robust data pipelines and working with vector databases.
 </li>
 <li>
 Cloud deployment and MLOps experience (AWS, GCP, or Azure).
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience fine-tuning LLMs with LoRA/QLoRA/PEFT.
 </li>
 <li>
 Knowledge of reinforcement learning, planning algorithms, or neuro-symbolic methods.
 </li>
 <li>
 Contributions to open-source agentic AI frameworks or published research in autonomous AI.
 </li>
 </ul>
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth stage, giving you the rare opportunity to shape the future of global employment. Your work will directly impact how businesses hire and how talent everywhere connects to opportunity.
 
 
 Join us to
 
 build the next generation of autonomous AI that changes how the world works across borders.
 
 
</div>

Senior AI/ML Engineer (Agentic AI)

Alight Solutions

<div>Our story
At Alight, we believe a company&rsquo;s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to &ldquo;Be Alight.&rdquo;
Our Values:
Champion People &ndash; be empathetic and help create a place where everyone belongs.
Grow with purpose &ndash; Be inspired by our higher calling of improving lives.
Be Alight &ndash; act with integrity, be real and empower others.
It&rsquo;s why we&rsquo;re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation.
With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work.
Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight.
Learn more at careers.alight.com.
&ldquo;This role supports services provided to the federal government or federal government contractor and therefore requires US Citizenship. Proof of citizenship status will be required at time of hire.&rdquo;<h3 class="jobSectionHeader">
About the Role</h3>
Join our dynamic AI Engineering team as an Agentic AI Engineer, where you&rsquo;ll help design, build, and secure agentic AI solutions that solve complex, cross-domain problems. You&rsquo;ll work alongside talented engineers, architects, and product managers to deliver scalable, secure, and innovative AI systems using modern cloud and software engineering practices. This role is ideal for someone with a strong engineering background, a passion for problem solving, and a commitment to continuous learning and improvement.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Agentic AI Engineering: Contribute to the design and implementation of agentic AI systems, including multi-agent orchestration, tool-use, retrieval (RAG), planning, and self-evaluation loops.</li><li>
Building Tools &amp; Standards for AI CoE: Develop reusable tools, frameworks, and technical standards that support the AI Center of Excellence&rsquo;s mission to embed AI responsibly and efficiently across the organization. Help define best practices and contribute to the creation of governance and operational standards for agentic AI.</li><li>
Security &amp; Cyber Responsibilities: Implement security controls for AI systems, including access management, data protection, vulnerability scanning, and incident response protocols. Collaborate with cybersecurity teams to ensure compliance with organizational and regulatory standards.</li><li>
Software Development: Build and maintain microservices, APIs, and high-scale systems using Java, Python, JavaScript, and TypeScript.</li><li>
Cloud Engineering: Design and deploy cloud-native solutions using AWS services (EC2, Lambda, S3, RDS, IAM) and AWS Bedrock Agents for generative AI and agentic workflows.</li><li>
DevOps &amp; Runtime Excellence: Support CI/CD automation, Infrastructure as Code, and GitOps workflows. Implement production observability (APM/logging/metrics/tracing), and contribute to reliability and performance improvements.</li><li>
Collaboration: Work closely with Architecture, Product, and Security teams to integrate agentic AI solutions and ensure technology governance and compliance.</li><li>
Continuous Learning &amp; Problem Solving: Demonstrate curiosity by exploring new technologies and approaches. Tackle ambiguous and complex problems with persistence and creativity. Share knowledge and contribute to team learning.</li><li>
Quality &amp; Compliance: Help define and enforce agentic AI standards and guardrails for safety, compliance, and ethical use, including policy enforcement and observability.</li></ul><h3 class="jobSectionHeader">
Minimum Qualifications</h3><ul><li>
5+ years of hands-on software development experience with Java, Python, JavaScript, and TypeScript; strong computer science fundamentals.</li><li>
Experience designing and deploying cloud-native solutions using AWS services.</li><li>
Proven experience building microservices/APIs and delivering high-scale systems.</li><li>
Applied DevOps/SRE skills: CI/CD, infrastructure as code, GitOps, and production observability.</li><li>
Demonstrated curiosity (continuous learning, exploring new technologies) and persistence (driving solutions through challenges and ambiguity).</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with agent frameworks (orchestration, tool-use), LLMs, vector databases, and retrieval pipelines (RAG).</li><li>
Hands-on with Kubernetes/ECS, Terraform/CloudFormation, Jenkins/GitHub Actions, and APM/logging tools.</li><li>
Experience with secure software design, performance profiling/tuning, and cost-aware architectural decisions.</li><li>
Exposure to agile delivery at scale and comfort working in collaborative, cross-functional teams.</li></ul>
Alight requires all virtual interviews to be conducted on video.
Flexible Working
So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and &ldquo;Top 100 Company for Remote Jobs&rdquo; 5 years in a row.
Benefits
We offer programs and plans for a healthy mind, body, wallet and life because it&rsquo;s important our benefits care for the whole person. Options include a variety of health coverage options, wellbeing and support programs, retirement, vacation and sick leave, maternity, paternity &amp; adoption leave, continuing education and training as well as several voluntary benefit options.
By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight&rsquo;s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position.
Our commitment to Inclusion
We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful.
At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future.
As part of this commitment, Alight will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact alightcareers@alight.com.
Equal Opportunity Policy Statement
Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state, or local law. In addition, we take affirmative action to employ, disabled persons, disabled veterans and other covered veterans.
Alight provides reasonable accommodations to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request a reasonable accommodation/modification by contacting their recruiter.
Authorization to work in the Employing Country
Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Alight.
Note, this job description does not restrict management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
#LI-Remote 
We offer you a competitive total rewards package, continuing education &amp; training, and tremendous potential with a growing worldwide organization.
Salary Pay Range
Minimum :
USD
Maximum :
USD
Pay Transparency Statement: Alight considers a variety of factors in determining whether to extend an offer of employment and in setting the appropriate compensation level, including, but not limited to, a candidate&rsquo;s experience, education, certification/credentials, market data, internal equity, and geography. Alight makes these decisions on an individualized, non-discriminatory basis. Bonus and/or incentive eligibility are determined by role and level. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit: Wellbeing and Benefits Selector Page - Alight 
DISCLAIMER: 
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
Alight Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable national, federal, state or local law. Alight Solutions is committed to a diverse workforce and is an affirmative action employer.</div>

Engineer - Agentic AI- Virtual

Glance

<div>
 
 
 What you will be doing
 
 
 
 We are looking for a Data Scientist who can operate at the intersection of
 
 classical machine learning
 
 ,
 
 large-scale recommendation systems
 
 , and
 
 modern agentic AI systems
 
 .
 
 
 You will design, build, and deploy intelligent systems that power Glance&rsquo;s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
 
 
 
 Your responsibilities will include:
 
 
 
 
 Classical ML &amp; Recommendation Systems
 
 
 <ul>
 <li>
 Design and develop large-scale recommendation systems using advanced ML, statistical modelling, ranking algorithms, and deep learning.
 </li>
 <li>
 Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
 </li>
 <li>
 Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
 </li>
 <li>
 Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
 </li>
 <li>
 Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
 </li>
 </ul>
 
 
 Agentic Systems &amp; Next-Gen AI
 
 
 <ul>
 <li>
 Build and experiment with
 
 agentic AI systems
 
 that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
 </li>
 <li>
 Apply
 
 LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models
 
 for semantic understanding, content classification, and user preference modelling.
 </li>
 <li>
 Design intelligent agents that can automate repetitive decision-making tasks&mdash;e.g., candidate generation tuning, feature selection, or context-aware content curation.
 </li>
 <li>
 Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.
 </li>
 </ul>
 
 
 Cross-functional impact
 
 
 <ul>
 <li>
 Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance&rsquo;s consumer experiences.
 </li>
 <li>
 Contribute to Glance&rsquo;s ML/AI thought leadership&mdash;blogs, case studies, internal tech talks, and industry conferences.
 </li>
 <li>
 Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
 </li>
 <li>
 Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
 </li>
 </ul>
 
 
 
 
 We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.
 
 
 You should have experience with:
 
 <ul>
 <li>
 Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
 </li>
 <li>
 Classical ML and deep learning techniques across NLP, sequence modelling, RL, clustering, and time series.
 </li>
 <li>
 Experience in deploying ML workflows/models in production system
 </li>
 <li>
 Big data processing (Spark, distributed data systems) and cloud computing.
 </li>
 <li>
 Designing end-to-end ML solutions&mdash;from prototype to production.
 </li>
 <li>
 Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
 </li>
 <li>
 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
 </li>
 <li>
 Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
 </li>
 <li>
 Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
 </li>
 <li>
 Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
 </li>
 <li>
 Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
 </li>
 <li>
 Comfortable working in cross-functional teams.
 </li>
 <li>
 Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
 </li>
 <li>
 Excellent communication skills with the ability to simplify complex technical concepts.
 </li>
 </ul>
 
 
 
 We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.
 
 
 Our team includes engineers, physicists, economists, mathematicians, and social scientists&mdash;a great data scientist can come from anywhere.
 
</div>

Machine Learning Engineer III - Recommendation Systems

Kyndryl

<div>
 
 Who We Are
 
 
 
 At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
 
 
 
 The Role
 
 
 
 As an Agentic AI Data Scientist at Kyndryl, you&rsquo;ll help shape the future of advanced Agentic AI while working with a team that&rsquo;s leading the industry.
 
 
 We're solving real-world problems at a massive scale &mdash; powered by creativity, precision, and a shared obsession with what&rsquo;s next.
 
 
 You&rsquo;ll be part of a team shaping the future of Agentic AI - architecting and scaling a next-gen open-source framework that powers autonomous systems across industries.
 
 
 We're not just talking innovation - we're building it. Fast.
 
 
 
 Startup inside Kyndryl
 
 : Zero bureaucracy. You&rsquo;ll work with autonomy, follow your own leads, and build real systems &ndash; not tickets.
 
 
 
 Tech-first, action-oriented culture
 
 : Think in code. Rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
 
 
 
 Direct impact at scale
 
 : Drive Kyndryl as an AI-native company - your ideas and IP shape the transformation.
 
 
 
 Deep academic integration
 
 : Be an industrial PhD supervisor. Co-author whitepapers. Publish with 2nd or 3rd attribution. Elevate your profile.
 
 
 
 Work that matters
 
 : Client-first, innovation-always. Balance advanced programming with strategic thinking and client interaction.
 
 
 
 True builder&rsquo;s environment
 
 : Collaborate with top-tier talent (most of the team holds PhDs). Everyone contributes equally &mdash; ideas over titles.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Serve as the bridge between deep technical work and business transformation, solving meaningful challenges through Agentic AI.
 </li>
 <li>
 Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
 </li>
 <li>
 Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
 </li>
 <li>
 Co-own the evolution of the Agentic AI framework - not just code, but also architecture, design, product thinking, and client success.
 </li>
 <li>
 Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.
 
 
 </li>
 </ul>
 Your Future at Kyndryl
 
 
 We don&rsquo;t hire for a role - we hire for a journey. You&rsquo;ll be empowered to work remotely, flexibly, and at your best. Your success is measured by what you create, not where you work from. Expect an innovation cycle where you&rsquo;ll build a legacy portfolio and help reimagine what AI can do for business.
 
 
 
 Who You Are
 
 
 
 Who You Are
 
 
 You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
 
 
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 3+ years of experience as an Agentic AI Data Scientist or in a comparable role
 </li>
 <li>
 Proven track record in client-facing engagements, demonstrating strong consultancy and stakeholder management skills
 </li>
 <li>
 Hands-on experience delivering end-to-end GenAI projects and systems
 </li>
 <li>
 MSc in computer science, mathematics, AI, or a related field
 </li>
 <li>
 Hands-on Agentic AI / GenAI engineering exposure - building or contributing to frameworks, not just using APIs
 </li>
 <li>
 Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers)
 
 
 </li>
 </ul>
 
 Preferred Skills And Experience
 
 
 
 <ul>
 <li>
 Ability to operate independently and collaborate within a high-trust, low-hierarchy team
 </li>
 <li>
 Contributions to academic/technical communities and shaping open-source projects
 </li>
 <li>
 PhD or equivalent research experience
 
 
 </li>
 </ul>
 Bonus Points For:
 
 
 <ul>
 <li>
 Certifications in Azure, AWS, or Google ML platforms
 </li>
 <li>
 Demonstrated contributions to graph theory, DevOps, or distributed systems
 </li>
 <li>
 Previous projects involving digital transformation, AI-native product development, or enterprise automation
 </li>
 <li>
 Presence in academic or whitepaper communities (authorship, publication, or presentation)
 </li>
 <li>
 Arabic language skills
 
 
 </li>
 </ul>
 
 Being You
 
 
 
 Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way.
 
 
 
 What You Can Expect
 
 
 
 With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
 
 
 
 Get Referred!
 
 
 
 If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.
</div>

Agentic AI Data Scientist

JPMorganChase

<div>JOB DESCRIPTION<div><div><div> 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - Python/Agentic AI at JPMorgan Chase within the Corporate Sector's Risk Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities<ul><li>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Use Agentic AI to create write new software.</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding in Python but good Java experience can be considered.</li><li>
Experience in working with Python data libraries.
</li><li>Must have experience designing, developing and deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3, RDS and Aurora</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle</li><li>
Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Familiarity with modern front-end technologies</li><li>
Exposure to cloud technologies</li></ul></div></div></div>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III - Python/Agentic AI

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