10 Ai Agent Jobs

Should have hands on experience of working on - ServiceNow Lens for OCR and enabling an AI Agent for contract and entitlement upload Agentic flow for software provisioning. For example, an agentic flow may include: AI Agent for determining approval requirements AI Agent to coordinate discussion/clarification with user for unknown software AI Agent to coordinate software installation or license provision where integration isnt possible AI Agent to handle updates to Entitlements after SW has been provisioned AI Agents for managing restricted software and updating certified software Would expect Architect to have strong technical skills and experience in HAM/SAM implementation like HAM OOTB flows, SAM Publisher Integration Who has strong ITAM knowledge including related integrations like SCCM, JAMF etc.

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

Job Description Role: - Principal Engineer for ServiceNow focusing on Now Assist AI Agents - Lead the development of modern Service Management and Automation solutions, primarily in Healthcare - Design, develop, and own AI agent platform components, including prompt engineering, integrations, and workflows - Act as a technical and functional consultant for ServiceNow implementations utilizing AI and the Now Assist platform - Provide architectural guidance, deep product knowledge, and best practices - Translate customer needs into scalable solutions and manage customer engagement, including scope and risk management - Enable and mentor team members on ServiceNow domains Requirements: - Extensive experience in Professional Services, ideally with a software OEM background - Strong understanding of AI integration into workflows, decision-making, and automation - Experience with agentic/autonomous systems, vector search, human-AI interaction - Proven experience with large-scale, distributed systems and relevant technologies (Kubernetes, Kafka, Flink, Spark) - Programming expertise, especially in Java, JavaScript/TypeScript - Familiarity with ServiceNow certifications (CMA, CTA) and additional certifications (TOGAF desirable) - Hands-on with LLMs, prompt engineering, and applying AI to solve real-world problems - 6+ years in software engineering, with a focus on product design and user experience - Strong stakeholder management, communication skills, and ability to handle complex customer needs - Architectural and systems design skills, capable of working with changing priorities Skills: - Technical: ServiceNow platform, AI/ML, large-scale systems, web frameworks, Java, Kubernetes, data streaming tech - Consulting/Communication: Customer engagement, solution presentation, translating technical concepts to business stakeholders - Design & Visualization: Creating wireframes, workflows, conceptual documents - Soft skills: Ownership, execution, collaboration, agility in evolving environments

We are seeking a Software Engineer with expertise in AI/ML and Full stack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions. Skills: P1 (must to have Skills) Generative AI Expertise/ AI Agents, Agentic Workflows/ RAG/ Prompt Engineering / Advanced Python Programming / LangChain / LangGraph / Vector Databases. P2 (need to have Skills ) FastAPI, NodeJS / Intuitive UI/UX Design: Either React or Typescript or Next.js. P3 (nice to have Skills) LlamaIndex / Integration of SLM/LLMs. Required Skills Generative AI Expertise : Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering. Advanced Python Programming : Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like LangChain and LangGraph. Vector Databases : Strong skills in managing and utilizing vector databases for AI solutions. FastAPI & NodeJS : Experience in building backend services using FastAPI or NodeJS. UI/UX Design : Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React. LlamaIndex & SLM/LLM Integration : Familiarity with LlamaIndex and expertise in integrating System Language Models/Large Language Models into applications. Preferred Education and Experience: Bachelors/masters degree in computer science, AI, Machine Learning, or related field. At least 3 years in full-stack development with a focus on AI. Proven track record leading small engineering teams and delivering complex AI-driven products. Direct client-facing experience, from requirements gathering to final delivery.

Job Title: AgentOps Lead Champion Location: Flexible (India/Bengaluru preferred) Team: GrowthTech | AI Enablement | Marketing Ops Reports To: VP, Growth & Intelligence Systems Role Overview LakeB2B is seeking a strategic, hands-on AgentOps Lead to drive the next wave of AI agent innovation across marketing, sales, and customer success functions. You will lead the development, deployment, and continuous optimization of LakeB2B’s proprietary AI agents and data science products, unlocking growth across our internal operations and for our external clients. This is a hybrid role at the intersection of data science, AI agent orchestration, and B2B growth. You’ll lead high-performing teams, collaborate cross-functionally, and turn 1.1B+ records into intelligent, scalable agent solutions that fuel the revenue engine. Key Responsibilities AI Agent Deployment & Intelligence • Architect and operationalize LakeB2B’s proprietary agent suite including ICP GPT, Lead GPT, Data GPT, Campaign Co-Pilot, and Company GPT. • Manage prompt engineers and agent trainers to create, refine, and QA agents tailored to vertical-specific use cases. • Integrate agents with LakeB2B’s proprietary datasets (730M contacts, 340M firmographics) for real-time personalization. Performance & Data Strategy • Develop advanced performance dashboards to measure agent impact (leads, response rates, conversions) and identify top-performing datasets. • Work with campaign managers and data teams to pilot successful agent use cases and surface actionable data patterns. • Apply natural language processing (NLP), computer vision, or predictive analytics techniques to improve agent intelligence and user value. ML & Data Science Productization • Design and implement advanced ML models and AI-driven algorithms for use in both internal ops and external data products. • Build predictive models, customer segmentation tools, recommendation engines, and data enrichment layers to supercharge campaign outcomes. • Collaborate with product, sales, and engineering teams to develop data-powered solutions for clients. Data Operations & Infrastructure • Lead efforts in data cleansing, deduplication, identity resolution, and enrichment to improve accuracy and usability of data products. • Build and automate robust data pipelines for efficient processing, modeling, and delivery of AI and ML solutions. • Continuously monitor, evaluate, and refine models for accuracy, impact, and ethical use. Cross-Functional Collaboration & Governance • Coordinate with IT, data science, and AI vendors to ensure data readiness, security, and responsible AI practices. • Document agent behavior, model assumptions, and data workflows; communicate findings clearly to internal and external stakeholders. Key Skills & Requirements Must-Have: • Bachelor’s/Master’s in Data Science, Computer Science, Statistics, Mathematics, or related fields • 6+ years in B2B marketing ops, product, AI deployment, or sales enablement (with at least 3+ in a data science/ML/AI role) • Strong command over Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R • Deep understanding of supervised/unsupervised ML algorithms and deep learning methods • Familiarity with NLP, recommendation systems, clustering, regression, and classification techniques • Experience with large-scale datasets, ETL workflows, and real-time data enrichment • Hands-on experience with AWS, Azure, or GCP • Familiarity with big data platforms like Spark, Hadoop (preferred) • Experience working with CRM systems, multichannel campaign tools, or outbound GTM stacks • Exceptional analytical thinking and business translation skills Nice to Have • Experience building LLM-based agents and hyper-personalized outbound automations • Exposure to growth marketing, ABM, or performance marketing strategies • Experience in building AI-first external client-facing products • Prior work in SaaS or B2B data firms Role & responsibilities Interested Candidate share your resume to thirumala.j@championsmail.com

Job Title: Cloud & Platform Engineer AI Agent & Platform Deployment (GCP Preferred) Location: Remote / Hybrid (India preferred) About the Role: We are building an enterprise-ready AI agent and AI framework. This role is central to the success of the platform — you'll lead the design, deployment, and scaling of cloud-native infrastructure, enabling smooth operation of the agent across GCP and other cloud providers. You’ll work closely with AI engineers, product managers, and QA leaders to operationalize an LLM-based stack integrated with enterprise tools like Jira, Zephyr, and Selenium. Key Responsibilities: Design and deploy secure microservice-based architecture (Docker, Kubernetes, API Gateway) Build and manage CI/CD pipelines across cloud environments (GCP, AWS, Azure) Orchestrate cloud-native LLM endpoints (e.g., OpenAI, Claude, PaLM) Integrate external APIs securely (OAuth2 flows with Jira, TestRail, etc.) Manage vector DBs (Pinecone, FAISS, or Weaviate) and inference caching (Redis/in-memory) Set up observability: logging, alerting, audit trails (Cloud Logging, Prometheus, etc.) Implement TLS, JWT auth, secret management (Vault, Secret Manager) Optimize cost and scalability across multi-agent workflows Required Skills: 3–6 years in cloud infrastructure engineering or DevOps Proven experience with: Google Cloud Platform (GCP) Kubernetes & Docker API gateways (NGINX/Istio/Kong) Familiarity with modern LLM stacks (LangChain, Haystack, OpenAI APIs) Strong understanding of OAuth2, JWT, HTTPS/TLS, role-based access GitOps-style CI/CD (Cloud Build, GitHub Actions, ArgoCD) Nice to Have: Knowledge of LLMOps or MLOps principles Prior experience with test automation tools (Selenium, Playwright) Background in working with QA or developer productivity tools Contributions to open-source infra tools or AI orchestration frameworks Why Join Us? Be a founding infra engineer on an enterprise AI platform Work on the intersection of cloud, AI agents, and enterprise automation Fast-paced execution, ownership from day one, and cross-functional collaboration

Role & responsibilities Develop and maintain Python scripts to scrape and analyze dark web data, identifying potential threats and vulnerabilities. Collaborate with our research team to design and implement data extraction and processing pipelines. Conduct in-depth analysis of scraped data to identify patterns, trends, and potential threats. Work closely with our research and vulnerability intelligence teams to develop and implement threat detection and mitigation strategies. Stay up-to-date with the latest developments in dark web technologies, threats, and Generative AI advancements, contributing to the evolution of our vulnerability intelligence platform. Requirements: Bachelors degree in Computer Science, Cybersecurity, or a related field. Proficiency in Python programming language. Basic understanding of models (e.g., GPT, BERT, Llama, Claude), including what they are and how they can be applied to coding and cybersecurity tasks. Familiarity with using AI-driven coding tools (e.g., GitHub Copilot, Cursor, Replit) to enhance development workflows. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Strong passion for cybersecurity and a desire to make a real impact. Nice to Have: Experience fine-tuning Generative AI models for specific tasks (e.g., text generation, data analysis)a plus but not required. Familiarity with web scraping, data analysis, and machine learning techniques. Knowledge of dark web technologies and threats. Other Details: This role is going to be an Internship (1Year) followed by Fulltime (Based on performance) Internship Stipend 15k, Fulltime offer: Upto 8LPA

Job Title: AI Agent Developer - Azure AI & OpenAI Platform Location: Pune (Hybrid 3 days onsite per week) Experience: 2+ years Employment Type: Full-time About the Role We are looking for an experienced AI Agent Developer to join our team and help design and implement AI-powered agents using Azure OpenAI , Azure AI Search , and related components of the Microsoft AI platform . This role is ideal for someone passionate about conversational AI, retrieval-augmented generation (RAG), and building intelligent automation across enterprise systems. Key Responsibilities Develop and deploy AI agents using Azure OpenAI Service , Azure AI Search , and Azure Cognitive Services Build intelligent workflows using RAG techniques to enhance knowledge retrieval and contextual responses Integrate AI agents with Microsoft tools like Power Automate , AI Builder , Azure Bot Services , and other enterprise systems Design conversational workflows that connect to APIs, databases, and internal tools Improve the accuracy, scalability, and performance of AI solutions in a cloud-native environment Apply prompt engineering strategies to optimize agent interaction quality Collaborate with cross-functional teams to understand requirements, prototype AI solutions, and support production rollouts Ensure solutions meet enterprise standards for security , compliance , and data governance Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, or a related field 2+ years of experience in AI/ML development, with a focus on Microsoft Azure Strong hands-on experience with: Azure OpenAI Service Azure AI Search , including semantic search and entity recognition Azure AI Foundry , Model Catalog , Document Intelligence Proficiency in Python or C# Familiarity with REST APIs , GraphQL , and enterprise data integrations Understanding of cloud-native development and DevOps practices Prior experience designing or deploying RAG pipelines is highly desirable Work Model Hybrid work model based in Pune Requires 3 days per week from office

We are seeking a hands-on Software Developer to design, build, and maintain AI-driven agents that automate administrative workflows and seamlessly integrate with SAP Business One. Youll work closely with our IT and operations teams to identify automation opportunities, architect AI solutions, and extend SAP B1’s capabilities via custom queries and APIs. Role & responsibilities AI Agent Development: Architect, develop, and deploy AI-powered bots/agents (e.g., leveraging GPT, Lang Chain, RAG frameworks) to automate repetitive admin tasks (e.g., report generation, vendor communications, invoice processing). Continuously evaluate and tune NLP models for accuracy and performance in business contexts. SAP Business One Integration: Design and implement integration layers between AI agents and SAP B1 (using DI API, Service Layer, B1if). Build and optimize SQL/HANA queries and stored procedures to read from and write to SAP B1 data tables. Solution Design & Documentation: Collaborate with business stakeholders to map requirements into technical specifications. Produce clear design documents, API specifications, and user guides for non-technical teams. Testing & Quality Assurance: Develop automated test suites (unit, integration, end-to-end) for both AI components and SAP B1 customizations. Perform code reviews, security assessments, and performance profiling. Maintenance & Support: Monitor production systems, troubleshoot integration failures, and apply patches or enhancements. Provide level-2 support for automated workflows and SAP B1 extensions. Continuous Improvement: Stay up to date on emerging AI/ML techniques, SAP B1 feature updates, and best practices in enterprise automation. Propose and prototype new automation scenarios to drive efficiency gains. Required Qualifications & Skills- Technical Skills: Programming Languages: Proficiency in one or more of C#, Python, or JavaScript/TypeScript. AI/ML Frameworks: Experience with large-language models (e.g., OpenAI API), LangChain, RAG, or similar toolkits. SAP B1 Expertise: Strong hands-on experience with SAP Business One SDK, DI API or Service Layer. Ability to construct, optimize, and debug complex SQL queries against HANA or MS SQL databases. Integration: Familiarity with RESTful APIs, web services, and message brokers (e.g., RabbitMQ, Kafka). DevOps: Experience with CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and containerization (Docker). Analytical & Communication Skills: Strong problem-solving aptitude with attention to detail. Excellent written and verbal communication; able to translate business needs into technical designs. Ability to work independently and as part of a multidisciplinary team. Preferred Experience & Attributes:- Prior exposure to ERP implementation projects, ideally SAP B1 roll-outs or upgrades. Hands-on with cloud platforms (Azure, AWS, or GCP) and serverless compute for hosting AI services. Familiarity with UI-automation tools (e.g., Power Automate, UiPath) for hybrid automation scenarios. Knowledge of security best practices for data privacy and API management. Certification in SAP Business One (development or consulting track) or relevant AI/ML credentials. To Apply: Email your resume to hrcor@sdfine.com with a brief cover letter highlighting any past AI/SAP integration projects. We look forward to exploring how your expertise can drive efficiency and innovation in our organization..!!!

We're hiring an AI Agent Developer (Copilot Studio) with 3–8 YOE in Microsoft Copilot Studio, Power Platform, LLM-based frameworks (LangChain, ReAct, OpenAI), and REST API integrations. JD: https://tinyurl.com/aidev-copilotstudio