Forward Deployed Engineer

HCLTech

San Francisco (CA)

Hybrid

USD 150,000 - 200,000

Full time

8 days ago

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Employee Assistance Program
401(k) Plan
Paid Time Off
Paid Holidays

Job summary

HCLTech is seeking a highly talented AI Solution Architect to advance Gemini Enterprise integration across client environments, applying domain knowledge in FS / RCPG / LSH and Google Cloud AI tech. You will architect multi-agent systems, design the connective tissue that lets Gemini agents reason across private silos, and lead production code for integration with ERP systems.

A strong focus on governance, security, and auditable actions will be required as you work with stakeholders on

Qualifications

  • Experience designing and building multi-agent systems and agent orchestration.
  • Hands-on experience with Gemini Enterprise platform and Google Cloud AI tech stack.
  • Ability to deploy production code integrating Gemini with legacy systems and data stores.

Responsibilities

  • Identify customer Persona and craft Day 1 agentic use cases for Gemini Enterprise.
  • Design multi-agent architectures using the ADK with hierarchical delegation and self-reflection.
  • Move from prototype to production code, integrating Gemini with SAP, Salesforce and other ERPs.
  • Build RAG pipelines with Vertex AI Search and BigQuery for reliable enterprise data access.
  • Implement governance and security to ensure auditable AI actions across environments.
  • Collaborate with product teams to develop reusable Skills and modular agent components.

Skills

Python
Go/Java
TypeScript
REST/gRPC APIs
Agent Evaluation
Agent Observability
CI/CD for LLMs

Tools

BigQuery
Vector Search
AlloyDB
Apache Beam / Dataflow

Job description

HCLTech is looking for a highly talented and self-motivated AI Solution Architect to join it in advancing the technological world through innovation and creativity.

Job Title: AI Solution Architect

Job ID: 122490, 122489

Location: Multiple Locations (Santa Clara, Dallas, New Jersey) - Hybrid

The FDE is a hybrid of a Staff Software Engineer and a Strategic Consultant. The role involves Consulting on promoting Agentic AI with Domain (FS / RCPG / LSH, Manufacturing / Technology) specific knowledge on Process Automation with Business & IT team stakeholders on Google Cloud AI Tech Stack.

It requires a solution-oriented mindset to align with domain specific process to Identify Agentic AI use Cases to address customer challenges and industry trends. You will be the technical lead responsible for deploying Gemini Enterprise App and Gemini Enterprise Agent Platform within client environments. You will architect and code the "connective tissue" that allows Gemini agents to reason across private enterprise silos, execute long-running workflows, and adhere to strict corporate governance.

Key Responsibilities
  • Identify customer Persona and craft out Agentic intervention points and Day 1 use cases for Gemini Enterprise
  • Agentic Architecture: Design multi-agent systems using the Agent Development Kit (ADK), implementing patterns like hierarchical delegation and self-reflection.
  • Production Implementation: Move beyond prototypes. You will write the production code that integrates Gemini agents with legacy APIs, SQL/NoSQL databases, and ERP systems (SAP, Salesforce, etc.).
  • The "Grounding" Expert: Build and optimize RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and Big Query, ensuring agents have "zero-hallucination" access to enterprise truths.
  • Governance & Security: Deploy Agent Identity and Agent Gateway protocols to ensure every AI action is auditable, secure, and compliant with regional data residency laws.
  • Field-to-Product Loop: Act as the "eyes and ears" for Google’s core engineering. Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules.
Technical Requirements
  • Engineering - Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs
  • Data Architecture - BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow
  • Ops & Eval - Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs
Pay and Benefits

Pay Range Minimum: $150,000 per year

Pay Range Maximum: $200,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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