Squad Engineering Leader-Agentic Full Time

Please share CV to monica_sharma@hcl-sofware.com with the below details:

Total Experience (should be more than 8 yrs)-

Current CTC-

Expected CTC-

Notice Period-

Willing to work in Bangalore-

Mandatory experience- 1.AI orchestration, enterprise automation, or workflow design

1. should have experience as tech lead, squad lead, or equivalent — with direct people management or strong mentoring responsibility.

THE ROLE & RESPONSIBILITIES

As a Squad Engineering Leader for Agentic, you will translate complex business processes into executable AI agent workflows — configuring, integrating, and operating autonomous agents that drive measurable enterprise outcomes with full auditability and human-in-the-loop oversight. You will also lead a cross-functional squad, providing technical direction, fostering a high-performance culture, and ensuring consistent, on-time delivery.

– Design and configure AI agents, mapping business logic into agent tasks, decision trees, and sub-agent chains.

– Integrate autonomous agents into broader IT and business process ecosystems — connecting LLMs, REST APIs, credential libraries, and data sources.

– Configure specialised sub-agents for operations such as data extraction, forecasting, anomaly detection, and workflow automation.

– Ensure all agentic workflows are observable, auditable, and compliant with enterprise governance and business rules.

– Collaborate with business stakeholders to elicit requirements, validate outcomes, and iterate quickly based on real-world performance.

– Lead, mentor, and grow a cross-functional engineering squad, setting clear technical standards and fostering a culture of ownership and continuous improvement.

– Drive Agile ceremonies — sprint planning, backlog refinement, retrospectives — ensuring the squad maintains a healthy, prioritised backlog and predictable delivery cadence.

– Act as the primary technical escalation point for the squad, removing blockers, resolving ambiguity, and shielding the team from unplanned interruptions.

– Conduct regular code and design reviews, enforcing engineering best practices, security standards, and architectural consistency across agentic solutions.

– Partner with Product Owners and business stakeholders to translate strategy into squad-level objectives, OKRs, and sprint goals.

– Support hiring, onboarding, and career development of squad members, providing structured feedback and coaching.

– Report on squad velocity, technical risks, and delivery health to senior leadership, escalating dependencies proactively.

REQUIREMENTS & QUALIFICATIONS

Must-Have

– 5+ years of experience in AI orchestration, enterprise automation, or workflow design.

– 2+ years in an engineering leadership role — tech lead, squad lead, or equivalent — with direct people management or strong mentoring responsibility.

– BE/BTech/MBA (or above) in a Computer Science-related field.

– Background in a specific business domain: finance, healthcare, supply chain, HR, or legal.

– Hands-on experience with LLMs, prompt engineering, and REST API integration.

– Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LlamaIndex, or similar).

– Strong problem-solving skills — ability to decompose complex business processes into logic models AI can execute.

– Understanding of enterprise governance, auditability, and human-in-the-loop AI principles.

– Experience with low-code/no-code automation platforms (e.g., Workload Automation, Power Automate, Zapier, Appian, or similar).

– Proven ability to run Agile squads — sprint planning, backlog management, and iterative delivery.

– Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.

– Track record of building psychologically safe, high-performing teams through coaching, constructive feedback, and clear goal-setting.

Nice-to-Have

– Familiarity with vector databases and semantic search for RAG pipelines.

– Experience contributing to hiring processes, including technical interviews and evaluation frameworks.

– Exposure to inner-source or platform engineering practices within large enterprise environments.

– Familiarity with engineering metrics (DORA, cycle time, deployment frequency) and tooling used to track squad health.