Artificial Intelligence & Engineering
AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.
Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
As a Lead Managed Services Engineer II, you will lead the design, implementation, and scaling of AI-powered and automation solutions across IT and business operations. This role requires a hands-on leader who can move from strategy to execution by identifying high-value opportunities, shaping solutions, and delivering production-grade outcomes. The ideal candidate combines experience in AI implementation with a strong background in infrastructure and operations and is comfortable leading teams and stakeholders in enterprise hybrid infrastructure environments.
Work you'll do
As a Lead Managed Services Engineer II on the Hybrid Cloud Infrastructure team, you will be responsible for:
- Identify opportunities to apply AI and automation by analyzing operational data, service trends, workflow bottlenecks, and business pain points.
- Lead end-to-end delivery of AI and automation initiatives, from discovery and design through deployment, stabilization, and continuous improvement.
- Design and implement AI-powered solutions, including AI agents, that leverage LLMs, enterprise tools, APIs, and workflow platforms to automate complex processes.
- Build and deploy RAG-based solutions using enterprise knowledge sources, vector databases, chunking strategies, and embedding workflows.
- Partner with business, operations, infrastructure, and security teams to translate requirements into practical implementation plans and technical roadmaps.
- Oversee environments, integrations, observability, incident handling, and deployment readiness for AI solutions in production.
- Lead client and stakeholder discussions, present operational insights, manage escalations, and drive adoption of new solutions.
- Improve operational performance across infrastructure and service delivery by applying automation to incident management, requests, knowledge access, monitoring, and remediation workflows.
- Establish KPIs and success metrics such as efficiency gains, latency, completion rates, user satisfaction, SLA performance, and service quality.
- Develop documentation, runbooks, and handoff materials to support long-term sustainment and scale.
The team
At Hybrid Cloud Infrastructure we deliver solutions spanning Hybrid Cloud, Advanced Connectivity, AI Data Centers, High-Performance Computing, and AI Infrastructure to help clients achieve their desired outcomes. Our offerings include engineered transformation services for hybrid cloud infrastructure and platforms, prioritizing resiliency, optimization, and extensive automation. We integrate advanced connectivity with AI infrastructure and enterprise networks to boost operational efficiency and enable real-time data processing. Additionally, we provide comprehensive management of all facets of operations for hybrid cloud infrastructure and field operations.
Location: Bengaluru/Hyderabad/Pune/Chennai
Shift Timings: 24/7 as per business requirements
Qualifications
Required:
- 8 - 14 years of hands-on experience in Proven experience leading AI and automation implementations in enterprise or production environments.
- Hands-on understanding of RAG, AI agents, prompt design, retrieval strategies, and enterprise AI integration patterns.
- Strong knowledge of infrastructure operations, including cloud, networks, servers, virtualization, backup, disaster recovery, and end-user support.
- Experience using data and operational analytics to identify automation and AI opportunities and build business cases for change.
- Ability to lead cross-functional teams and work effectively with engineering, operations, product, security, and business stakeholders.
- Strong client-facing communication and presentation skills, including experience managing expectations and driving executive-level conversations.
- Familiarity with ITIL-based service management, including incident, change, and problem management.
- Experience working in regulated environments with awareness of governance, risk, and compliance requirements such as SOX, HIPAA, or GDPR.
- Significant experience in IT operations, infrastructure, automation, AI engineering, or related technology delivery roles.
- Prior people leadership or program leadership experience in a manager-level role strongly preferred.
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Preferred:
- Python and/or JavaScript/TypeScript
- AI agent frameworks such as LangChain, Semantic Kernel, AutoGen, or CrewAI
- Vector databases such as Pinecone, Weaviate, FAISS, or Qdrant
- Cloud platforms such as AWS, Azure, or GCP
- APIs, webhooks, event-driven integrations, CI/CD, and containers
- ITSM and Hybrid Infrastructure experience
- Observability and monitoring platforms such as Dynatrace or AppDynamics
- Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation