Solutions Manager

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science

In short

As a Solutions Manager, you will operate at the front line of delivery, embedded with the client to quickly turn ambiguous business problems into production agents. You will lead a lean pod of 3 agent engineers, conceptualizing, building, integrating, evaluating, deploying, and sustaining autonomous and multi-agent systems that automate and reimagine business processes.

Responsibilities

Embed with stakeholders to frame business processes as agentic solutions and create working agent prototypes.
Design and ship single-agent and multi-agent systems in Python using ADKs to automate and transform client workflows.
Drive delivery and operational efficiency through 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/function calling, MCP, and multi-agent orchestration.
Integrate agents into client ecosystems using standard integration patterns, APIs, and secure authentication.
Build reusable agent components, skills, tool libraries, and templates, ensuring predictable and safe agent 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, evaluations, 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) based on 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 agent solutions and operate effectively in ambiguous, customer-embedded settings.
Client-facing maturity, with the ability to translate fluidly between technical and non-technical stakeholders and own outcomes.
Experience mentoring or leading small engineering teams.

Desired Qualifications

Fluency across multiple ADKs and the judgment to select the appropriate one for each 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 transformation areas such as 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.

Skills

PythonAgent Development KitsGoogle ADKLangGraphCrewAIOpenAI Agents SDKAWS Bedrock AgentCoreMicrosoft Agent FrameworkSemantic KernelPrompt EngineeringContext EngineeringPrompt CachingRAGContext GraphsTool/Function CallingMulti-Agent OrchestrationAPISecure AuthenticationCI/CDObservabilityTelemetryResponsible AIDevSecOpsVertex AI Agent EngineLLM

#Agentic AI#Python#AI#Machine Learning#Software Engineering

About HCLTech

Supercharging progress through technology and innovation

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…

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