Automation & AI Consultant
Claidroid · Pune City, Maharashtra, India
Apply & track with Apply EdgeAutomation & AI ConsultantClaidroid — Pune / Thiruvananthapuram, India (Hybrid)Claidroid Technologies Pvt. Ltd.
Ltd. is hiring an experienced Automation & AI Consultant for a strategic enterprise technology engagement with a leading global client.The role involves leading the automation and AI strategy across enterprise IT infrastructure and data centre operations, identifying high-impact automation opportunities, establishing scalable automation frameworks and driving the adoption of intelligent technologies across on-premises and cloud environments.This opportunity is ideal for senior technology professionals with strong expertise in Infrastructure Automation, Python, Cloud Automation, Artificial Intelligence, Machine Learning, Generative AI, DevOps, CI/CD and Enterprise Systems Integration, combined with proven experience in technical leadership and delivering complex automation initiatives.You will play a key role in transforming traditional IT infrastructure operations through intelligent automation, AI-driven process optimization, cross-functional collaboration and continuous improvement.About Claidroid TechnologiesClaidroid Technologies Pvt. Ltd. is a global digital transformation and technology services partner built around Cloud, AI, Automation and Enterprise Platforms.We work with leading enterprises to modernize technology platforms, improve operational efficiency, strengthen governance and deliver high-quality technology solutions.Our expertise spans Cloud Engineering, Artificial Intelligence, Intelligent Automation, DevOps, DevSecOps, AIOps, Enterprise Service Management and Digital Transformation.Role OverviewAs an Automation & AI Consultant, you will lead the identification, design, implementation and continuous improvement of enterprise automation and AI initiatives across IT infrastructure and data centre operations.You will work closely with operational teams, infrastructure specialists, product owners, innovation teams and senior business stakeholders to define an automation vision aligned with enterprise technology and business objectives.The role requires a strong understanding of on-premises and cloud infrastructure, automation frameworks, AI/ML technologies, enterprise system integration and DevOps practices, supported by proven leadership and stakeholder-management capabilities.You will be responsible for establishing scalable automation frameworks, identifying repetitive and complex operational processes, evaluating emerging technologies and overseeing the end-to-end automation delivery lifecycle.You will also collaborate with AI and innovation teams to explore practical applications of Generative AI, Machine Learning, Natural Language Processing and Cognitive Services within enterprise IT operations.This is a strategic, technically demanding role that combines hands-on engineering expertise, solution architecture, consulting, technical leadership and enterprise automation transformation.Key ResponsibilitiesAutomation & AI StrategyDevelop and drive the automation and AI vision for enterprise IT infrastructure and data centre operations.Align automation initiatives with organizational strategy, operational priorities and measurable business outcomes.Establish scalable automation frameworks, standards and implementation approaches.Identify high-impact automation opportunities across complex and repetitive infrastructure processes.Collaborate with operational teams and infrastructure specialists to assess automation feasibility and business value.Evaluate and implement automation technologies that streamline operations across on-premises and cloud environments.Define and promote a structured approach to automation opportunity identification, prioritization and implementation.Drive continuous improvement through intelligent automation and operational simplification.AI, Machine Learning & Intelligent AutomationCollaborate with innovation teams and AI specialists to identify practical AI-driven use cases.Evaluate opportunities involving Generative AI, Machine Learning, Natural Language Processing and Cognitive Services.Provide technical expertise in integrating AI capabilities into enterprise automation solutions.Use APIs to integrate pre-trained AI/ML models and AI services into existing infrastructure systems and workflows.Identify opportunities to enhance IT operations through intelligent workflow automation.Explore emerging AI frameworks, tools and technologies relevant to infrastructure and operational automation.Assess the feasibility, technical risks and operational benefits of AI-powered automation solutions.Support the development of AI-enabled capabilities that improve efficiency, reliability and operational decision-making.Promote responsible adoption of AI technologies, considering security, privacy and regulatory requirements.Infrastructure Automation & EngineeringLead automation initiatives across enterprise data centre and IT infrastructure environments.Drive automation involving Operating Systems, Compute, Storage, Backup and Network technologies.Design and oversee automation solutions across on-premises infrastructure and cloud platforms.Apply strong programming and scripting expertise using technologies such as Python, Java and JavaScript.Develop and promote API-based integrations between automation platforms and enterprise systems.Establish reusable automation approaches that improve scalability, maintainability and operational reliability.Apply cloud automation technologies and infrastructure engineering best practices.Ensure automation solutions align with enterprise security standards and operational requirements.Support integration between infrastructure automation tools, cloud services and existing enterprise technology platforms.Automation Lifecycle & Delivery ManagementOwn and oversee the end-to-end lifecycle of automation initiatives, from opportunity identification through implementation and operational adoption.Work closely with product owners, technical teams and stakeholders to define requirements and delivery priorities.Ensure automation projects are delivered within agreed timelines, technical standards and business objectives.Define and monitor appropriate automation KPIs to measure progress and business impact.Coordinate solution design, development, testing, deployment and ongoing improvement activities.Identify project risks, technical dependencies and implementation challenges.Manage escalations and support decision-making in complex or high-pressure situations.Ensure automation solutions are adequately documented, tested and operationally sustainable.Promote standardized delivery practices aligned with ITIL, DevOps and Agile principles.Leadership, Collaboration & Change ManagementBuild and maintain strong cross-functional relationships with infrastructure specialists and operational teams.Establish and coordinate a virtual automation community comprising Subject Matter Experts (SMEs) from different infrastructure and operational squads.Collaborate with Innovation and AI Ambassadors to identify and deliver AI and automation opportunities.Provide technical guidance and leadership to engineering teams and automation stakeholders.Coach and mentor operational SPOCs to develop automation capabilities and promote knowledge sharing.Address concerns about automation adoption by demonstrating practical benefits and measurable business outcomes.Encourage a culture of continuous improvement, technical innovation and operational excellence.Explain complex AI and automation concepts clearly to technical and non-technical stakeholders.Facilitate workshops, knowledge-sharing sessions and technical discussions to accelerate automation adoption.DevOps, Cloud & Enterprise IntegrationApply ITIL and DevOps principles to enterprise automation delivery.Support integration of automation capabilities with cloud and on-premises infrastructure.Leverage CI/CD pipelines to streamline development, testing and deployment of automation solutions.Ensure effective integration between automation frameworks and enterprise technology platforms.Apply secure engineering practices and assess vulnerabilities within automated workflows.Support the use of APIs, REST interfaces and data integration mechanisms across enterprise systems.Promote reliable, scalable and maintainable automation architectures.Apply knowledge of MLOps practices, including model monitoring and CI/CD for machine learning pipelines, where applicable.Technology Evaluation & Vendor ManagementResearch emerging automation and AI technologies relevant to enterprise infrastructure operations.Evaluate tools, frameworks and platforms based on technical capability, operational value and business fit.Engage with technology vendors and external partners to understand product capabilities and innovations.Lead technical discussions with vendors regarding product features, integrations and optimization opportunities.Recommend suitable automation technologies that complement existing enterprise architecture.Support vendor selection and integration planning in collaboration with relevant stakeholders.Identify technical training and capability-development opportunities to strengthen automation expertise across teams.Stakeholder Management, Reporting & GovernanceMaintain regular communication with product owners, operational leaders and business stakeholders.Prepare and present monthly reports covering automation progress, achievements, challenges and upcoming priorities.Deliver professional presentations to senior management highlighting the business value of automation initiatives.Demonstrate improvements in efficiency, operational reliability and process simplification.Track progress against agreed automation KPIs and delivery milestones.Maintain clear documentation covering AI solutions, automation processes, technical designs and operational procedures.Ensure stakeholders remain aligned on priorities, delivery progress and key decisions.Promote transparency, accountability and effective governance throughout automation initiatives.Must-Have SkillsWe are looking for senior professionals with a strong combination of technical expertise, infrastructure automation experience, AI knowledge and leadership capability.Infrastructure & Automation7–10 years of experience in IT Automation and AI, including proven delivery of successful automation initiatives in complex infrastructure environments.Strong working knowledge of Data Centre infrastructure and IT Operations.Good understanding of Operating Systems, Compute, Storage, Backup and Network technologies.Strong experience with on-premises and cloud infrastructure automation.Experience designing and implementing enterprise-scale automation solutions.Strong programming and scripting skills, including Python, Java or JavaScript.Experience integrating automation solutions with enterprise applications and systems.Strong knowledge of APIs, REST interfaces and data integration principles.Ability to identify, evaluate and implement high-impact automation opportunities.Artificial Intelligence & Machine LearningGood understanding of Artificial Intelligence and Machine Learning concepts.Familiarity with Generative AI frameworks.Knowledge of Cognitive Services and Natural Language Processing concepts.Experience or technical understanding of integrating AI services and pre-trained models with enterprise workflows.Familiarity with MLOps practices, including model monitoring and CI/CD for ML pipelines.Ability to evaluate AI technologies and identify practical use cases in IT operations.DevOps, Cloud & SecurityGood understanding of ITIL and DevOps frameworks.Experience with CI/CD pipelines and automated deployment practices.Strong exposure to cloud automation technologies and on-premises solutions.Understanding of enterprise infrastructure engineering and operational processes.Ability to identify and mitigate security vulnerabilities in automated workflows.Understanding of data privacy, security and regulatory compliance considerations.Leadership & ConsultingProven experience leading cross-functional technical teams and automation initiatives.Strong stakeholder-management and consulting skills.Ability to develop automation strategies aligned with business and operational objectives.Experience managing multiple priorities, risks and technical escalations.Strong analytical, problem-solving and decision-making capabilities.Ability to work effectively in complex and ambiguous technology environments.Experience in technology evaluation and vendor management.Excellent communication, presentation and stakeholder-engagement skills.Agile mindset with a strong results-oriented approach.Good-to-Have SkillsCandidates with experience in the following areas will have an added advantage:Python Automation: Advanced scripting for enterprise infrastructure and operational automation.Ansible / Terraform: Infrastructure-as-code, orchestration and configuration management.Cloud Automation: Automation experience across AWS, Microsoft Azure or related platforms.Generative AI: Practical applications of GenAI in enterprise workflows and IT operations.Machine Learning / NLP: Experience identifying and integrating AI-driven capabilities into business and infrastructure processes.MLOps: Experience with monitoring, deployment and lifecycle management of ML models.REST API Integration: Integrating automation tools, infrastructure platforms and enterprise applications.DevOps & CI/CD: Jenkins, Git, Azure DevOps or similar toolchains.ITSM Integration: Exposure to connecting automation workflows with enterprise IT service management platforms.Observability & AIOps: Understanding of event-driven automation, monitoring integration and AI-assisted operations.AI Governance: Awareness of AI risks, data privacy and regulatory compliance requirements.Certifications: Relevant AWS, Microsoft Azure, automation or AI certifications.Candidate ProfileWe are looking for experienced Automation & AI Consultants who can combine strategic thinking with strong technical expertise to deliver meaningful automation transformation across enterprise infrastructure environments.The ideal candidate should have:7–10 years of relevant experience in IT Automation, AI and infrastructure engineering.A proven track record of leading successful automation initiatives within complex enterprise environments.Strong knowledge of data centre operations and cloud infrastructure technologies.Hands-on engineering knowledge combined with automation solution design capabilities.Good understanding of Generative AI, Machine Learning and emerging intelligent automation technologies.Experience managing cross-functional engineering teams and collaborating with multiple stakeholders.Strong ability to identify business problems and translate them into scalable automation solutions.Experience driving adoption of automation technologies and promoting operational change.Strong communication, presentation, problem-solving and decision-making capabilities.Ability to take end-to-end ownership of automation delivery, governance and measurable business outcomes.Candidates should be comfortable engaging with senior stakeholders, infrastructure specialists, engineering teams, technology vendors and innovation groups, while providing both technical direction and strategic leadership.Why Join Claidroid Technologies?At Claidroid Technologies, you will work on enterprise technology transformation initiatives for global clients in an environment that values innovation, engineering excellence, ownership and continuous improvement.This role offers the opportunity to lead impactful automation and AI initiatives across complex enterprise environments while contributing to the future of intelligent IT operations.This role provides strong exposure to:Enterprise Automation Strategy & ArchitectureArtificial Intelligence & Intelligent AutomationGenerative AI & Machine LearningEnterprise Infrastructure ModernizationData Centre & Cloud AutomationPython & Enterprise ScriptingInfrastructure-as-CodeDevOps & CI/CDAI/ML Integration & MLOpsAPI-Based Enterprise IntegrationAutomation Governance & KPI ManagementTechnology Evaluation & Vendor ManagementCross-Functional Technical LeadershipStakeholder Consulting & Change ManagementOperational Transformation & Continuous ImprovementGlobal Enterprise Technology ProgrammesThis is an excellent opportunity for senior technology professionals looking to combine their expertise in infrastructure engineering, automation and AI with strategic consulting and technical leadership.Work LocationPune / Trivandrum – HybridCandidates should be open to working from the designated project location as required by the client and project delivery model.Apply NowIf you have a proven track record in Enterprise Infrastructure Automation, AI-driven Transformation, Cloud Engineering and Technical Leadership, we would like to hear from you.Join Claidroid Technologies and help shape the next generation of intelligent enterprise IT operations.Key Skills: Automation & AI Consultant | IT Automation | AI Strategy | Infrastructure Automation | Python | Generative AI | Machine Learning | Cloud Automation | Data Centre Operations | IT Infrastructure | DevOps | CI/CD | REST API | Enterprise Integration | Cognitive Services | NLP | MLOps | Infrastructure-as-Code | ITIL | Automation Architecture | Technical Leadership | Stakeholder Management | Vendor Management | Intelligent Automation | AI Governance