15 Ai Ops Jobs

Job description Role & responsibilities Design, implement, configure, and maintain both the Moogsoft AIOps platform and the Apex AIOps Incident Management platform. Develop and manage integrations between Moogsoft, Apex AIOps, and other relevant IT monitoring, logging, and ITSM tools. Develop and implement automation workflows and runbooks within both AIOps platforms to streamline incident management and remediation processes. Collaborate with various IT teams (monitoring, application, infrastructure, security, operations) to understand their AIOps requirements and translate them into effective solutions on both platforms. Define and enforce best practices for the configuration, utilization, and administration of both Moogsoft and Apex AIOps. Troubleshoot issues related to platform performance, data ingestion, correlation logic, integrations, and automation within both environments. Create and maintain comprehensive documentation for configurations, integrations, workflows, and operational procedures for both Moogsoft and Apex AIOps. Develop and implement metrics and dashboards within both platforms to provide visibility into IT health, incident trends, and the effectiveness of AIOps implementations. Ensure the security and compliance of both Moogsoft and Apex AIOps platforms and their integrations. Preferred candidate profile Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience (typically 8+ years) in a technical role focused on AIOps platforms, event management, or systems integration, with specific experience in both Moogsoft and Apex AIOps.

This is an excellent opportunity with Palo Alto Networks professional services. We are seeking an SDWAN Senior EE Consultant to work onsite in Hyderabad. It is an initial 12-month contract that is highly likely to extend. We are looking for a highly professional consultant with the following skillset: Mandatory Requirements: - Networking Expert with CCIE certification - At least 8 years of experience designing and deploying with: - Prisma SDWAN design and deployment experience (Mandatory) - ION device design and hands-on deployment experience (Mandatory) - Integration with Prisma SASE - Panorama - Log Collectors - Strata Cloud Manager - AI OPS - Design and Architecture skills with Palo Alto and other SDWAN solutions - Able to guide an implementation team and drive project conversations with Senior Leadership and Project Stakeholders - Excellent customer management skills Preferred Skills: - Project management skills - Leading large technical engagements with enterprise customers - Experience with Prisma Access and CIE If you are interested in this exciting opportunity, please contact us with a copy of your CV.,

Internship Summary: We are seeking Interns excited to work at the intersection of humans and AI. This role is ideal for candidates who are processdriven, detail-oriented, and passionate about future-proof careers in AI operations and data curation. Basic Qualifications Final year / 7th or 8th Semester students who are in BE, BCA, MCA and MTech or any related field Interest in future roles such as AI Prompt Engineering, Annotation, QA, AI Ops, AI Queue Management Strong command in English (written and spoken) Willingness to work in a US shift schedule Desired Skills: Familiarity with AI/ML concepts and workflows Comfortable with repetitive tasks requiring high precision Understanding of data security and confidentiality Working knowledge of Excel/Google Sheets Good comprehension and instruction-following skills US English fluency (spoken/listening) Operational Mindset: Detail-oriented and committed to quality Strong SOP/process adherence Able to follow structured workflows with minimal supervision Behavioral Attributes Quick learner and adaptable to new tools/processes Reliable, accountable, and consistent High integrity when handling sensitive data Collaborative and team-oriented Comfortable in a 24x7 operational setup Additional Desirables Certifications in AI Ops, annotation, HITL, or QA Willingness to relocate near to the office location (Bangalore/ Mangalore/ Noida) Internship Requirements Background verification Agreement to NDA/IP policies Please Note: This Role May Not Be Suitable for Those Who: Are unable to work night shifts or in high-performance operational settings Are seeking software development or coding roles, as this project is non-developmental and process-focused Why Join Us? Be part of a growing AI operations team where humans enable smarter AI systems. Youll learn how the future of AI is built.

Internship Summary: We are seeking Interns excited to work at the intersection of humans and AI (HITL). This role is ideal for candidates who are process-driven, detail-oriented, and passionate about future-proof careers in AI operations and data curation. Basic Qualifications Fresh Graduate in BE , BCA, MCA or any relevant degree . Batch Starts September/ October`25. Interest in future roles such as AI Prompt Engineering, Annotation, QA, AI Ops, AI Queue Management Strong command in English (written and spoken) Strong Listening Skills Willingness to work in a US shift schedule Desired Skills: Familiarity with AI/ML concepts and workflows Comfortable with repetitive tasks requiring high precision Understanding of data security and confidentiality Working knowledge of Excel/Google Sheets Good comprehension and instruction-following skills US English fluency (spoken/listening) Operational Mindset: Detail-oriented and committed to quality Strong SOP/process adherence Able to follow structured workflows with minimal supervision Behavioral Attributes Quick learner and adaptable to new tools/processes Reliable, accountable, and consistent High integrity when handling sensitive data Collaborative and team-oriented Comfortable in a 24x7 operational setup Additional Desirables Willingness to relocate near to the office location (Bangalore/ Mangalore/ Noida) Internship Requirements Background verification Agreement to NDA/IP policies Please Note: This Role May Not Be Suitable for Those Who: Are unable to work night shifts or in high-performance operational settings Are seeking software development or coding roles, as this project is non-developmental and process-focused Why Join Us? Be part of a growing AI operations team where humans enable smarter AI systems. Youll learn how the future of AI is built. Job Description for AI Operator- Trainee XTRANSMATRIX Job Title AI Operator-Intern (HITL) Location Noida/ Mangalore/ Bengaluru

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters The future of cybersecurity starts with you. About the Role We are seeking a highly skilled engineer for our Digital Operations Center (DOC) team. The ideal candidate has extensive experience managing end-to-end incident lifecycles, including monitoring, detection, resolution and communication in a 24/7/365 DOC environment. This role is critical for ensuring the stability, performance and reliability of our IT network and product services. The DOC, IT and product teams operate globally, requiring collaboration across regions and shift handoffs. What You'll Do: Leading The DOC / IT Ops Engineer with experience in Incident Management, Problem Management, Change Management, Knowledge Management and Proactive Monitoring areas Lead efforts involving the monitoring of key internal services and incident teams, as well as escalation and alerts to our crisis team(s) Champion best practices of the DOC Playbook through the entire DOC team Guide the implementation, continuous improvement and documentation of new and existing policies, procedures and processes for the DOC Technology innovation mindset with AI Operations and self-healing scripts. Monitoring and Alerting: Continuously monitor internal IT and product-related incidents using various tools and platforms. Develop, configure, and manage alerting systems to promptly identify and alert relevant parties to emerging issues. Facilitate crisis team assessments or activations through rapid situational awareness to incident coordinators Incident Management and Escalations: Coordinate and escalate issues to appropriate teams and stakeholders as needed. Maintain clear and concise communication during incidents, providing regular updates to stakeholders. Collaborate with cross-functional teams to support root cause analysis of complex issues Document and maintain standard operating procedures for DOC response and escalation processes. Continuous Improvement: Identify opportunities for improving monitoring and alerting systems and processes. Participate in post-incident reviews and contribute to the development of preventive measures. Stay up-to-date with industry trends and best practices in all-hazards operations center operations and technologies. Documentation and Reporting: Maintain detailed and accurate incident logs and documentation. Generate regular reports on tracked incidents, assessments, and status. Provide insights and recommendations based on incident analysis and trends. What You'll Need: Education: Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field. Equivalent work experience will be considered. Experience: Minimum of 6 years of experience in Digital Operations Center (DOC) or similar environment like NOC or IT Operations. Proven experience with maintaining a common operating picture with existing monitoring tools and situational awareness dashboards . Strong understanding of network protocols, systems, and infrastructure. Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively under pressure and manage multiple priorities. Proficiency in scripting languages (e.g., Python, Bash), AI Ops is a plus. Familiarity with ITIL practices and frameworks is desirable. Familiarity with incident command system (ICS) principles and best practices in the technology industry Certifications: Relevant certifications such as CCNA, CCNP, or equivalent are preferred. Work Environment: This position may require shift work to ensure 24/7 coverage of the DOC. Ability to work in a high-stress, fast-paced environment. Work Location : Pune (Work from office ) #LI-NR1 Benefits of Working at CrowdStrike: Remote-friendly and flexible work culture Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.

Are you passionate about leveraging AI to drive transformative changes within an organization? Do you enjoy working collaboratively with cross-functional teams to infuse AI capabilities into various business functions? Automation & AI Center of Excellence (CoE), stands at the forefront of innovation, leveraging the latest advancements in Automation & Generative AI to drive internal transformation. Join us in the pursuit of not just solving business challenges across Allianz Technologys Infrastructure, but reshaping the landscape for our employees through creative AI solutions. Immersing ourselves in the technology we deliver to our clients, we're not just adapting to change; we're driving it. Job Summary: We are seeking a dynamic and experienced Lead AIOps and Automation Engineer to drive the design, implementation, and optimization of cutting-edge automation and AIOps solutions . This role will involve leveraging AI, cloud technologies, and integration frameworks to enhance IT operations, scalability, and resilience. As a key member of our team, you will lead initiatives that modernize IT, streamline processes, and enable proactive decision-making through intelligent automation.The ideal candidate will have extensive experience in AIOps, Automation, Generative AI, Conversational AI, and IT Infrastructure & apps, with a strong focus on cloud technologies such as AWS and Azure. Additionally, experience with development in "Amelia AIOps software is required. The Lead Automation Engineer will be responsible for designing, implementing, and optimizing intelligent automation solutions to enhance our IT processes and operations and drive innovation. Key Responsibilities: Lead the development and implementation of advanced automation strategies using AIOps Automation, Generative AI, and Conversational AI to enhance IT operations and efficiency. Lead the development of scalable advanced automation solutions for IT processes & operations, CI/CD pipelines, infrastructure as code, and cloud operations. Identify opportunities to eliminate manual processes and drive efficiency using automation, AI tools and frameworks (e.g., Amelia AIOps, Ansible, Terraform, etc.). Design and deploy scalable, reliable, and secure cloud AI & Automation solutions on AWS and Azure platforms, emphasizing Azure OpenAI and other Azure AI solutions. Develop and integrate automation solutions using Amelia AIOps platform to optimize IT and operational processes. Build and maintain integrations between IT systems, cloud platforms, and third-party services to enable seamless data exchange and workflows. Develop APIs and connectors for enabling automated orchestration across diverse platforms. Implement GitOps practices to streamline and automate deployment processes, ensuring consistency and reliability. Collaborate with cross-functional teams to identify automation opportunities and deliver innovative, impactful solutions. Mentor and guide junior engineers, fostering a culture of excellence in automation best practices and emerging technologies. Stay abreast of the latest trends and advancements in AI, cloud computing, and automation technologies to drive continuous innovation. Ensure compliance with security policies and best practices across all automation and cloud initiatives. Design and develop generative AI models for diverse applications using frameworks such as RAG ; Langchain etc Collaborate with cross-functional teams to optimize and enhance cloud automation processes, ensuring seamless integration. Research and implement new automation tools and techniques to continuously improve operational efficiency and innovation. Demonstrate familiarity with Cloud GenAI platforms, such as Azure Open AI , Bedrock Agents, to leverage their capabilities effectively. Experience in integrating multi-agent systems for data aggregation within agentic workflows to enhance data processing. Apply knowledge of MLOps pipelines for deploying and monitoring AI models, ensuring robust performance and reliability. Qualifications: 7+ years of experience working in the AI & Automation field Proven experience in designing and implementing AIOps solutions in large-scale environments; strong expertise as an Automation Engineer with a focus on AIOps, Generative AI, and Conversational AI. Hands-on experience with Amelia AIOps software and integrations is a must Strong knowledge of AI/ML techniques applied to IT operations. Proficiency with automation tools (e.g., Ansible, Puppet, Terraform, Chef etc). Expertise in cloud platforms (AWS, Azure, GCP), with hands-on experience in automation and orchestration. Solid understanding of APIs, web services, and integration technologies (e.g., REST, GraphQL, Kafka). Proficiency in scripting/programming languages (Python, Java,Bash, etc.). Familiarity with observability tools (e.g., Splunk, Dynatrace, New Relic) and ITSM tools (e.g., ServiceNow) Strong background in machine learning and deep learning algorithms. - Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models. Generative AI frameworks – Langchain, LlamaIndex, Agentic Frameworks - AutoGen, Semantic kernel, crewAI, promptflow,Langflow, Langraph Deep understanding of transformer architectures and diffusion models Experience in generative AI techniques such as GANs and VAEs. - Ability to design and implement scalable and efficient AI systems. Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy Strong communication, problem solving and leadership skills, with the ability to work collaboratively with diverse teams. Certifications in AWS, Azure, Generative AI or relevant AI technologies are a plus. Technical Requirements: Extensive experience with infrastructure as code (IaC) tools such as Ansible, Terraform, or CloudFormation. Proficiency in CI/CD tools like Jenkins, GitLab CI/CD, or similar. Experience with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar. Familiarity with RESTful APIs, SOAP UI, and microservices architecture for integration development. Understanding of network protocols, security, and cloud networking. Experience with version control systems such as Git, specifically GitHub Enterprise (GHE). Implementation and management of GitOps practices. Experience with Disaster Recovery (DR) planning and implementation. Knowledge of IT Service Management (ITSM) frameworks and tools. Expertise in designing and maintaining High Availability (HA) systems. Experience with AI model development and deployment, including machine learning and deep learning frameworks. Familiarity with natural language processing (NLP) and conversational AI tools. Role & responsibilities

As the Grafana and Elastic Architect, your primary responsibility will be to maintain and optimize the observability platform. You will ensure cost-effective operations, define guardrails, and promote best practices. Your role will involve overseeing the platforms" day-to-day support, managing vendors and partners, and collaborating closely with application owners for successful onboarding. Additionally, you will lead the deployment of AI Ops and other advanced features within Grafana and Elastic while working alongside other observability, ITSM, and platform architects. This position includes people management responsibilities, where you will lead a team towards achieving operational excellence. Your key responsibilities will include: - Platform Ownership & Cost Optimization: Maintain and enhance the Grafana and Elastic platforms to ensure high availability and performance. Implement cost control mechanisms to optimize resource utilization and establish guardrails, best practices, and governance models. - BAU Support & Vendor/Partner Management: Manage day-to-day operations, troubleshoot issues, and engage with third-party vendors and partners to ensure SLA adherence. - Application Onboarding & Collaboration: Partner with application owners and engineering teams to onboard applications onto the Observability platform. Define standardized onboarding frameworks and ensure seamless integration with existing observability solutions. - AI Ops & Advanced Features Implementation: Deploy AI Ops capabilities within Grafana and Elastic, implement automation, and intelligent alerting to enhance monitoring and anomaly detection. - Cross-Functional Collaboration: Work closely with architects of other Observability platforms, align with ITSM, DevOps, and Cloud teams to create a holistic observability roadmap. - People & Team Management: Lead and manage a team responsible for Grafana and Elastic observability operations. Provide mentorship, coaching, and career development opportunities for team members. Qualifications: - Technical Expertise: 12+ years of experience in IT Operations, Observability, or related fields. Strong expertise in Grafana and Elastic Stack, experience in implementing AI Ops, machine learning, or automation, proficiency in scripting and automation tools, hands-on experience with cloud-based Observability solutions. - Leadership & Collaboration: Experience in managing vendors, contracts, and external partnerships, stakeholder management skills, excellent communication and presentation skills, ability to lead and mentor junior engineers. In summary, as the Grafana and Elastic Architect, you will play a crucial role in optimizing the observability platform, ensuring efficient operations, and leading a team towards operational excellence. Your technical expertise, leadership skills, and collaboration abilities will be essential in achieving success in this role.,

You are a Sr. Manager at Coforge with over 14 years of experience in enterprise IT, specializing in AI, AI Ops & ServiceNow Operations. Located in Greater Noida, you will be responsible for leading enterprise evaluation and adoption strategy for AI/ML platforms such as Microsoft Azure AI & Copilot, AWS Bedrock, OpenAI, Google Vertex AI, and others. As an AI evangelist, you will advise business leaders on translating complex capabilities into practical use cases like GenAI copilots, intelligent chatbots, process intelligence, and AI agents. Your role involves guiding business units on effectively leveraging AI while maintaining a balance between innovation, cost, security, and compliance. You will establish and oversee AI platform operations, including model lifecycle management, retraining schedules, usage monitoring, and performance optimization. Additionally, you will define and implement AI observability, monitoring, and drift detection mechanisms to ensure high availability and trust in AI-driven outputs. Collaborating closely with IT Ops and platform teams, you will integrate AI into observability, alerting, and AIOps pipelines for real-time insights and automation triggers. You will also be responsible for owning the AI platform governance model, which includes access control, versioning, security, and audit compliance. In terms of ServiceNow Operations, you will own and lead the ServiceNow platform roadmap covering ITSM, ITOM, HRSD, and low-code/no-code development. Your responsibilities will include overseeing ServiceNow platform operations, performance management, upgrades, patching, and capacity planning in collaboration with infrastructure teams. Ensuring that incident, change, and release management processes for ServiceNow align with ITIL standards and business continuity objectives will also be part of your role. Furthermore, you will integrate AI features into ServiceNow such as Now Assist, predictive intelligence, NLP bots, and ML models in workflows. The ideal candidate will have 12-15 years of experience in enterprise IT, demonstrating strong leadership in AI strategy, platform engineering, and ServiceNow delivery. You should possess proven experience working with AI/ML platforms like Azure OpenAI, Copilot, OpenAI APIs, Google Vertex AI, AWS Bedrock & SageMaker, as well as deep hands-on and solutioning knowledge of ServiceNow (ITSM, ITOM, low-code). Moreover, you should have strong experience in enterprise automation, integration strategy, AI-powered service delivery, and governance. Excellent stakeholder engagement skills are crucial for this role, as you will be expected to influence both business leaders and technical teams effectively.,

As an IPA Developer at our company in Hyderabad (Hybrid), you will be responsible for architecting automation solutions across various platforms such as UiPath, Power Automate, AA, Blue Prism, Pega, and Appian. Your role will involve assessing automation maturity, identifying gaps and opportunities, and recommending tools and platforms for RPA, AI, and orchestration. You will lead the design and implementation of intelligent automation using RPA, BPM, ML, NLP, and other technologies. Creating automation roadmaps for healthcare workflows, defining business cases, and prioritizing automation initiatives will also be part of your responsibilities. Moreover, you will apply architecture and governance principles to ensure scalable and secure AI solutions. Your leadership will be crucial in agentic automation, collaborating with product owners, engineers, and SMEs in agile environments. To excel in this role, you should have at least 15 years of experience in automation architecture and consulting, with hands-on expertise in RPA (UiPath, AA, Blue Prism), BPM, and AI tools. Proficiency in fit-gap analysis, platform selection, and ROI modeling is essential, along with a strong understanding of TOGAF/Zachman and integration patterns. Experience in AI integration, particularly in ML, NLP, LLMs, and document understanding, will be beneficial. Preferred qualifications include healthcare workflow experience, certification as an Architect in UiPath, AA, or Power Platform, and excellent communication and stakeholder management skills. Knowledge of HIPAA/HITECH, AI governance, LLM prompt engineering, healthcare transformation/consulting, and exposure to Process Intelligence, AI Ops, and Autonomous Agents are considered nice-to-have skills. This is a full-time position that requires in-person work at our Hyderabad office. If you are passionate about automation, AI, and healthcare workflows, and possess the necessary qualifications and skills, we encourage you to apply for this role.,

As the AI Ops, ML Ops, and LLM Ops Manager, your primary responsibility is to oversee the efficient and scalable operations of AI and machine learning models. You will be in charge of managing the entire model lifecycle, covering development, deployment, monitoring, and maintenance. It is crucial to ensure strict adherence to predefined Service Level Agreements (SLAs) for AI and ML operations. To streamline the integration and deployment of models, you will be required to develop and maintain CI/CD Ops pipelines. Additionally, implementing and managing model registries for version control and governance is essential. You will establish coding checklists and best practices while also developing and automating testing frameworks to maintain model quality and reliability. Designing and managing inference pipelines for both real-time and batch predictions will be under your purview. Innovation plays a key role in this role, as you will be expected to adopt emerging technologies such as GenAI, AI, and NLP. Accelerating product/service development through rapid prototyping and iterative methods will be necessary to drive innovation effectively. Furthermore, aligning analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements is imperative. You will also be tasked with identifying and developing advanced analytics capabilities and ecosystem partnerships in alignment with the DnA strategy. Key Responsibilities: - Lead AI Ops, ML Ops, and LLM Ops to ensure efficient and scalable operation of AI and machine learning models. - Develop and manage the model lifecycle, including development, deployment, monitoring, and maintenance. - Ensure adherence to predefined SLAs for AI and ML operations. - Create and manage analytics product/services roadmaps from concept to launch. - Develop and maintain CI/CD Ops pipelines for seamless integration and deployment of models. - Implement and manage model registries for version control and governance. - Establish and enforce coding checklists and best practices. - Develop and automate testing frameworks to ensure model quality and reliability. - Design and manage inference pipelines for real-time and batch predictions. - Incubate and adopt emerging technologies (GenAI, AI, NLP) to accelerate product/service development through rapid prototyping and iterative methods. - Align analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements. - Establish and update strategies, implementation plans, and value cases for emerging technologies. - Drive innovation using appropriate people, processes, partners, and tools. - Identify and develop advanced analytics capabilities and ecosystem partnerships in alignment with DnA strategy. - Oversee end-to-end delivery of analytics services and products across cross-functional business areas. - Serve as the point of escalation, review, and approval for key issues and decisions. - Manage resource and capacity planning in line with business priorities and strategies. - Foster continuous improvement within the team. - Decide on program timelines, governance, and deployment strategies. Key Performance Indicators: - Achieved targets in Enterprise business case contribution, KPIs, customer satisfaction, and innovation measures. - Delivery on agreed KPIs including business impact - Launch of innovative technology solutions across Novartis at scale. - Business impact and value generated from DDIT solutions. - Adoption and development of Agile Productization and DevOps practices. - Operations stability and effective risk management. - Feedback on customer experience. - Applications adherence to ISC requirements and are audit ready. - Business capability, vision & strategy clearly defined, communicated, and executed, well aligned to business strategy and Enterprise IT strategy, providing a competitive advantage to Novartis. - Role model with the highest standards of professional conduct in leading the business capability area in line with the new IT operating model. - Deployment of digital platforms and services at scale to deliver the digital strategy. Skills And Experience: - Demonstrated experience in Budget Management, Business Acumen, Performance Management, Planning, Project Management, Risk Management, Service Delivery Management, and stakeholder management. - Strong understanding of AI Ops, ML Ops, and LLM Ops. - Experience in developing and managing the model lifecycle, including deployment and maintenance. - Proficiency in managing operations with predefined SLAs. - Expertise in CI/CD Ops pipelines development. - Experience with model registry and management. - Knowledge of coding checklists and best practices. - Proficiency in developing and automating testing frameworks. - Experience in designing and managing inference pipelines. - Production experience with commercial and open-source ML platforms. - Strong knowledge of AWS, Databricks, and Snowflake service offerings. - Ability to collaborate with business teams to gather requirements, groom product backlogs, and drive delivery. - Agile delivery experience managing multiple concurrent delivery cycles. - Solid foundation in CRISP analytical life cycle management. - Strong leadership skills with the ability to build high-performing teams. - Excellent vendor management and IT governance skills. - Innovative and analytical mindset with a focus on continuous improvement. - Emerging Technology Monitoring, Consulting, Influencing & persuading, Unbossed Leadership, IT governance, Building High Performing Teams, Vendor Management, Innovative & Analytical Technologies. - Strong understanding of descriptive vs. prescriptive Analytical frameworks. - Strong knowledge of visualization platforms and project life cycle management, including Power BI, Qlik, and MicroStrategy. - Significant production experience addressing visualization platform and data pipeline performance constraints. - Strong analytical and problem-solving skills, effective communication, and the ability to influence and collaborate with cross-functional teams.,

As the Vice President of Infrastructure Engineering & Support within Fiserv Technology Services, you will be instrumental in collaborating closely with CTO portfolio leaders and CIO teams to address various infrastructure requirements and transformation initiatives. Your role will involve driving efficiency, optimization, and service delivery while overseeing a significant portion of the global organization based in Global Services. It will be your responsibility to champion service excellence, maintain platform stability, security, and resilience, and enable Fiserv clients and customers. Your deep technical expertise, architectural knowledge, and domain skills, coupled with a commercial mindset and fiscal prudence, will ensure the delivery of world-class solutions that enhance the Fiserv brand. In this role, you will: - Take ownership of the end-to-end operating model within FTS. - Regularly engage with business stakeholders to understand their needs, involve them in joint planning, and ensure high stakeholder satisfaction. - Serve as the single point of accountability and escalation for technology service provisioning to clients, the business, and the FTS organization. - Execute enterprise-wide programs and initiatives aligned with the overall strategy. - Promote the adoption and enhancement of strategic technology tools. - Utilize both technical and commercial acumen to drive business profitability through the technology solution portfolio. - Optimize technology utilization across internal and external stakeholders to meet functional and financial objectives. - Utilize initiative management, new product adoption, AI Ops, automation, and lifecycle management to achieve efficient technology outcomes. - Advocate for clients while owning the technology change roadmap. To be successful in this role, you should possess: - Over 20 years of experience in infrastructure engineering, with a focus on compute and storage technologies, operating systems, database, middleware, cloud, containers, and network services. - More than 10 years of experience in the banking and financial services industry. - 15+ years of experience in managing global teams and delivering technology service solutions. - A Bachelor's degree in engineering or computer science, or equivalent military experience. - Demonstrated expertise in ITSM, SRE, Automation, and Telemetry/AI Ops. - Experience in setting up and managing a command center for triaging and quickly restoring services. - Proficiency in Change Success and Proactive Problem Management. Additionally, it would be beneficial to have: - More than 15 years of experience in driving transformational improvements in infrastructure. - Extensive experience in leading large-scale infrastructure projects, including mergers and acquisitions. - Proven ability to manage third-party processors, hardware & software vendors, and external infrastructure providers. - Knowledge of ITIL controls and compliance processes to effectively manage vulnerabilities. - Strong leadership experience in building and sustaining a diverse workforce aligned with corporate and country goals.,

Director u2013u00A0Hyderabad Infrastructure Operations Lead Level:u00A0 M2 Supervisor:u00A0 Harsh Chadha, Sr. Director ITu2013 Lilly Hyderabad About the Team: The Hyderabad Infrastructure Operations Lead is responsible for leading the Digital Core Infrastructure operations teams spanning 2 shifts based in Hyderabad, India. This strategic leader shares responsibility for the governance and operational excellence of the enterprise InfraOPS with their global counterparts. This role oversees 2 of the 3 global operations teams of infrastructure platforms (Servers, Storage, Cloud Ops) to enhance service delivery, automation, and efficiency across the organization.u00A0u00A0 The ideal candidate will lead key operations transformation initiatives, driving related service management processes, while ensuring alignment with business goals, industry best practices, and emerging technologies, like AI and Automation. They will collaborate with cross-functional teams, lead innovation efforts, and manage vendor relationships to optimize platform performance and scalability. Additionally, they will have a strong background in Infrastructure, platform operations, hyperscale cloud, leading high performing global teams, and a proven track record of managing large-scale service delivery. These skills will enable improved user efficiency and experience and help support the broader Company purpose of making life better for people around the world. What youu2019ll be doing: As the leader of the Hyderabad Infrastructure Operations Team, youu2019ll be operating as a highly effective People, Transformation, and Relationship Leader.u00A0u00A0You will have the desire and proven ability to cut through ambiguity and re-imagine how services should be established and managed to ensure the highest levels of efficiency.u00A0 You will be a respected and robust partner who feels obligated to focus on enterprise value-based outcomes u2013 one that can establish new enterprise capabilities through engagement with cross functional partners and vendors whilst minimizing technical dept. Key Responsibilities: Hyderabad Infrastructure Operations Team Leadership Be a Leader: u00A0Lead multipleu00A0teams with multiple first line leaders focused on the ongoing operational support of Lillyu2019s global Technology infrastructure.u00A0 Be Bold: u00A0You will drive Infrastructure Operations to never have to fix the same problem twice through adoption of AI OPS, Event Driven Automation, and robust Observability. Be Fast: u00A0You will accelerate initiatives in areas such as: Infrastructure AI OPS automation, cloud IaaS management, and cloud infrastructure as code to enable critical business projects. Be Proactive: u00A0You will have groundbreaking opportunities to transform our operations processes using proactive, predictive, and automated AI & Observability capabilities. Be Your Best: u00A0You will bring high learning agility and Infrastructure operations / engineering skills to help us enable the Lilly Technology strategy, identify tech opportunities, and accelerate our AI OPS journey. Incident and Change Leadership Follow ITIL-based incident, problem, and change management processes using ServiceNow.u00A0 Manage incident resolution and root cause analysis for critical server issues.u00A0 Oversee change management processes, ensuring minimal impact to production environments.u00A0 Incident, Change and Request Management: Participate in incident response and root cause analysis to prevent recurrences, be available on-call as needed, and participate in an on-call schedule. Able to work off-hours and weekends if needed for any major incidents/critical activities. Work under pressure to guide teams in resolving incidents quickly. Oversee changes to all infrastructure teams, ensuring adherence to processes with minimal production impact.u00A0u00A0 Partner with Tech@Lilly, Cyber, Quality, Procurement, and other partner organizations to ensure high Shared Consciousness in transformation roadmaps Other responsibilities Partner with cross functional group of architects, technologists, and service area leadership to establish and execute against an ongoing engineering excellence program focusing on continuous improvement Demonstrate the ability to drive, lead and coach others, and influence others outside their sphere of influence. Manage a team - responsible for staff performance evaluations and management (e.g., disciplinary) training and development and have authority to hire. Act as a member of the Lilly Hyderabad T@L Lead Team to ensure governance, process and compliance consistency across the various Lilly Hyderabad T@L service areas. Provide coaching and mentorship to others within the function to enhance the teamu2019s ongoing technical development and understanding of technologies, services, quality and security compliance standards, and methodologies. Identify and hire talent to foster innovation and excellence. Proven experience in assessing business value, risk mitigation, cost optimization, and return on investment. Deliver results based upon annual goals, department goals and management requests. Develop department budget, performance standards, and schedules. Establish operating policies and procedures. Implement initiatives for continuous improvement and ideas for positive disruption Basic Qualifications: A bachelor's degree in an IT subject area (computer science, information systems, etc.) or equivalent experience. 10+ years of experience in IT Infrastructure operations, with a strong focus on server & storage platforms (e.g., Windows Server, Linux, Storage & Backups, Virtualization) Proven leadership experience managing or working on global/diverse teamsu00A0 Strong knowledge of ITIL frameworks, service operations, and process improvement methodologies. Demonstrated leadership, influence, communication, presentation, and facilitation skills. Demonstrated strong partnership skills and influence with business partners inside business unit context. Demonstrated influence and communication skills across all levels of IT. Strong organizational and communication skills with multiple examples of being able to convey complex ideas and thoughts in manners that resulted in definitive directions and results. Strong negotiation skills. Deep vendor management experience. Proactive, demonstrated ability to challenge the status quo and strong ability to drive peers and above to timely decisions. A high level of intellectual curiosity, external perspective, technical aptitude and innovation interest. Demonstrated experience in service transformation with a focus on people, process, and technology.u00A0u00A0 Experienced in delivering and sustaining solutions throughout software development lifecycle: design, engineering, construct, testing, deployment, and support of software solutions, platforms, services, and capabilities. Demonstrated ownership of sustainable capabilities and services within the budget, timeline, and scope constraints.u00A0 Demonstrated business and technical acumen through interactions with key business and IT leadership. Additional Skills / Preferences: Masteru2019s degree in IT subject area (computer science, information systems, etc.). Basic understanding ofu00A0 cloud technologies u00A0(Azure, AWS) and hybrid cloud environments.u00A0 Proficient in utilizing monitoring tools such as Splunk or similar platforms.u00A0 System Maintenance and Monitoring: Ensure the stability, performance, and security of Linux/Windows/Cloud-based/Virtualization/Storage systems. Monitor system health, troubleshoot issues, and implement necessary fixes.u00A0 Customer Support: Provide timely and effective support to customers on an as-needed basis. Address and resolve technical issues, ensuring minimal disruption to services.u00A0 Experience with Agile and DevOps methodologiesu00A0 Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lillyu00A0does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

Job Title: Senior Solution Architect Location : Bengaluru (WFO) Architectural Leadership: Serve as the Azure Solution Architect with specific sector knowledge, setting the direction for cloud architecture and ensuring alignment with the organization's technical strategy and O&G industry standards . Uphold industry best practices and standards specific to the O&G sector . Technology Roadmap: Construct and continuously update an Azure-focused technology roadmap, aligning with the organization's long-term goals. Explore and identify cutting-edge Azure services and features that can propel technological advancement. Strategically plan and implement upgrades to bolster the organization's competitive position and enhance the scalability of Azure-based solutions. Solution Design: Take the lead in design and architecture complex Azure solutions , with a strong focus on ensuring scalability, robust security, and cost-effectiveness and alignment with nuanced demands of the O&G industry. Stakeholder Engagement: Work in tandem with various service lines, such as engineering divisions and business stakeholders, to align Azure architectural strategies with the core business objectives and ensure the designs are in sync with the business's forward direction. Possess the ability to effectively communicate Azure technical strategies to non-technical stakeholders, thereby facilitating their participation in informed decision-making. Mentorship and Guidance: Offer Azure technical leadership and mentorship to solution squads. an environment of innovation, continuous improvement, and technical prowess across the organization. Cultivate Compliance and Best Practices: Guarantee Azure solutions meet regulatory demands and O&G-specific standards, including those related to safety, environment, and operations. Risk Assessment: Proactively identify and assess technical risks linked with Azure infrastructure and applications. Collaborate with multifaceted teams to formulate and implement measures to alleviate the detected risks. As a Solution Architect, it is crucial to pinpoint potential risks during the solution development phase and devise comprehensive risk mitigation plans for all solutions crafted. Industry Expertise: Stay informed about emerging technologies, trends, and standards in the oil and gas industry. Evaluate the potential impact of new technologies and provide recommendations for adoption both in upcoming solution designs as well as enhancement of solution architectures. Vendor Management: Engage with external vendors and technology associates to scrutinize third-party offerings compatible with Azure. Integrate these third-party solutions effortlessly, ensuring they complement and reinforce the broader Azure architectural strategy and the business objectives. Masters (or) Bachelor’s degree in Computer Science, Engineering, or Information Technology or a related field (or equivalent experience). Over all 8+ years of experience required for Solution Architect 8+ years of prior experience as a solution architect, preferably in the oil and gas industry or 8+ years of prior experience as a software engineer or similar role. Extensive experience in the oil and gas sector, including knowledge of industry-specific challenges and opportunities. Technical Expertise: Strong experience should have an in-depth understanding of Azure services and architecture, including IaaS, PaaS, and SaaS solutions. They should be adept at designing and implementing complex cloud infrastructure, ensuring scalability, reliability, and security. Also, strong experience in multi-cloud environments like AWS, GCP and their application migrations and management in O&G specifically. Advanced Problem-Solving: They must possess strong analytical skills to troubleshoot and resolve high-level technical issues. This includes the ability to perform root cause analysis and implement long-term solutions to prevent recurrence. Strategic Planning: The architect should be capable of developing strategic plans for cloud adoption and migration, aligning with the organization's goals. They should be able to evaluate and recommend new technologies and approaches to drive continuous improvement. Communication Skills: Excellent communication skills are essential for translating technical concepts to non-technical stakeholders, facilitating clear and effective discussions between cross-functional teams, and presenting proposals and progress reports to senior management. Client Engagement: Capable to work closely with clients (internal clients) to understand their business requirements and constraints, ensuring that the cloud solutions designed meet their needs and expectations. Innovation: With extensive experience, they should be at the forefront of innovation, exploring new cloud technologies and methodologies, and integrating them into the organization's practices to gain competitive advantage. Leadership and Mentorship: As a seasoned leader, the Senior Solution Architect should set the technical direction and make pivotal decisions that define the organization's cloud strategy, while also serving as a mentor to uplift junior architects and engineers. They must lead by example, inspiring teams through complex initiatives and fostering professional growth by imparting knowledge, best practices, and constructive feedback to nurture the next generation of technical experts. Must have Master’s or Bachelor’s degree in computer science engineering or information technology or Relevant field. Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or similar. Microsoft AZ900 Certification & AZ 305 Certification TOGAF or ArchiMate or Zachman or equivalent architecture frameworks experience Experience in automation using Python, Gen AI, AI Ops, etc. Experience with data integration, data warehousing, and big data technologies. Experience with containerization and orchestration tools (e.g., any 2 of following: Docker, OpenShift, Kubernetes, ECS, GKE, AKS, EKS, Rancher, Apache Mesos, Nomad, Docker Swarm, Kubernetes). Understanding of the O&G sector's operational workflows, including the intricacies of exploration, extraction, refining, and distribution activities, to tailor cloud-based solutions that complement the industry's unique needs. Competence in tackling technical hurdles specific to the O&G domain, such as efficient asset management in isolated areas, processing extensive seismic datasets, and ensuring compliance with strict regulatory frameworks. Proficiency in leveraging Azure cloud technologies to enhance the O&G Industry's operational effectiveness, utilizing tools like IoT, advanced data analytics, and machine learning for better results Experience with CI/CD pipelines and automated testing frameworks (e.g. CircleCI, Jenkins, TeamCity, Travis CI, Bamboo, Bitbucket, etc.) Strong interpersonal skills with the ability to engage effectively with both technical and non-technical stakeholders. Role & responsibilities Preferred candidate profile

Job role & responsibilities:- Collaborate with different teams to propose AI solutions on different use cases across the insurance value chain, with a focus on AIops and MLOps Research, build, and deploy AI models as part of the broader AI team, leveraging AIops and MLOps practices for efficient model management Contribute to our DevOps practices using OpenShift or Azure ML DevOps Technical Skills, Experience & Qualification required:- Expertise is required in the following fields: 6-9 years of progressive experience in AI and ML, with a focus on AIops and MLOps Experience in ML Flow or Cube Flow or Airflow, ML Ops, more in to production deployment Experience in deploying and managing AI models in production environments using Azure ML DevOps or OpenShift Implementation of at least 5 AI projects, preferably with experience in AIops and MLOps Experience with Azure, OpenShift, MLFlow DevOps for model deployment, monitoring, and management Setting up CI/CD pipelines using Azure DevOps, Jenkins, etc. Hands-on experience with Generative AI tech LLMs, RAG, Prompt Engineering Broad understanding of machine learning algorithms and techniques, including LLMs/SLMs, CNNs) RNNs, transformers, and attention mechanisms Immediate Joiners will be preferred

We are seeking a Senior Prisma SD-WAN consukltnt to work with Palo Alto Networks. It is an initial 12 month Freelace Contract highly likely to extend. Mandatory Requirements: Networking Expert with CCIE certification At Least 8 years experience designing and deploying with: Prisma SDWAN design and deployment experience - Mandatory ION device design and hands on deployment experience - Mandatory Integration with Prisma SASE Panorama Log Collectors Strata Cloud Manager AI OPS Design and Architecture skills with Palo Alto and other SDWAN solutions Able to guide an implementation team and drive project conversations with Senior Leadership and Project Stakeholders Excellent customer management skills Preferred Skills: Project management skills Leading large technical engagements with enterprise customers Experience with Prisma Access and CIE Preferred Skills: Project management skills Leading large technical engagements with enterprise customers Experience with Prisma Access and CIE