Solutions Manager
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Data Science
In short
Responsibilities
- Embed with stakeholders to conceptualize agentic solutions and create prototypes quickly.
- Design and ship single-agent and multi-agent systems in Python using ADKs to automate client workflows.
- Drive delivery and operational efficiency, focusing on shorter cycle times, reduced manual effort, higher accuracy, and lower cost-to-serve.
- Engineer agent core functionalities including prompt engineering, context engineering, RAG, memory, tool calling, and multi-agent orchestration.
- Integrate agents into client ecosystems using standard patterns, APIs, and secure authentication.
- Build reusable agent components, skills, tool libraries, and templates with guardrails for predictable behavior.
- Prototype and iterate quickly, hardening solutions to production-grade, well-tested Python code.
- Implement evaluation harnesses and test suites to measure agent correctness, safety, and regression.
- Manage AgentOps/DevSecOps including CI/CD, versioning, observability, telemetry, shift-left security, and Responsible AI governance.
- Establish a continuous feedback loop using production telemetry, evals, and client feedback.
- Adopt evolving agent frameworks and patterns, and share field learnings.
- Lead and mentor a team of 3 agent engineers, setting technical direction and raising the engineering bar.
Requirements
- Strong Python engineering skills (idiomatic, typed, tested, packaged code) with solid software engineering principles.
- Hands-on agent building experience with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, or Microsoft Agent Framework / Semantic Kernel).
- Solid command of agent engineering concepts: prompt engineering, context engineering, prompt caching, RAG/context graphs, tool/function calling, MCP, and multi-agent orchestration.
- Experience with eval-driven development: designing evaluation harnesses and measuring agent quality, safety, and reliability.
- Proficiency in standards-based integration and DevSecOps: APIs, secure auth, CI/CD, observability, and AgentOps.
- Ability to quickly conceptualize business problems as agentic solutions.
- Ability to operate effectively in ambiguous, customer-embedded settings.
- Client-facing maturity, with the ability to translate between technical and non-technical stakeholders.
- Experience mentoring or leading small engineering teams.
Desired Qualifications
- Fluency across multiple ADKs and the judgment to pick the right one per engagement.
- Experience deploying agents to managed runtimes at enterprise scale (e.g., Vertex AI Agent Engine, Bedrock AgentCore) with governance and cost control.
- Domain depth in finance operations, supply chain, HR, claims, or compliance.
- Experience with an enterprise agent platform, including Responsible AI and governance at scale.
- A track record of turning agents into reusable accelerators or IP adopted beyond a single engagement.
Benefits
- Supercharge your potential.
- Find your career.
- Find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
Skills
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…
Company
HCLTechJob Posted
1 day ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Chennai, India
Applicants
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