Verified Job
Engineering - Architecture
HCLTech Agentic AI Architect
Engineering - Architecture
#802594
Remote / WFH
HCLTech
Job Description
Job highlights
Identified by Google from the original job post
Qualifications
Technical Requirements Domain Stack Expertise AI/ML Platform, Enterprise Agent Platform, Agent Studio, Vertex AI Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE) Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs
Benefits
Pay and Benefits
Pay Range Minimum: 105,000 per year
Pay Range Maximum: 219,000 per year
A candidate’s pay within the range will depend on their work location, 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
Responsibilities
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 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 Enterprise App and Enterprise Agent Platform within client environments
You will architect and code the "connective tissue" that allows agents to reason across private enterprise silos, execute long-running workflows, and adhere to strict corporate governance
Identify customer Persona and craft out Agentic intervention points and Day 1 use cases for 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 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 BigQuery, 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 core engineering
Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules
Job description
HCLTech is looking for a highly talented and self- motivated Agentic AI Architect to join it in advancing the technological world through innovation and creativity.
Job Title: Agentic AI Architect
Job ID: 145627
Position Type: Full-time
Location: Mountain View CA/ Remote
Role/Responsibilities
• 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 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 Enterprise App and Enterprise Agent Platform within client environments.
• You will architect and code the "connective tissue" that allows 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 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 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 BigQuery, 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 core engineering. Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules. Technical Requirements Domain Stack Expertise AI/ML Platform, Enterprise Agent Platform, Agent Studio, Vertex AI Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE) Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs
Pay and Benefits
Pay Range Minimum: 105,000 per year
Pay Range Maximum: 219,000 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, ****** 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.
Compensation and Benefits
A candidate’s pay within the range will depend on their work location, 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.
Identified by Google from the original job post
Qualifications
Technical Requirements Domain Stack Expertise AI/ML Platform, Enterprise Agent Platform, Agent Studio, Vertex AI Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE) Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs
Benefits
Pay and Benefits
Pay Range Minimum: 105,000 per year
Pay Range Maximum: 219,000 per year
A candidate’s pay within the range will depend on their work location, 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
Responsibilities
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 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 Enterprise App and Enterprise Agent Platform within client environments
You will architect and code the "connective tissue" that allows agents to reason across private enterprise silos, execute long-running workflows, and adhere to strict corporate governance
Identify customer Persona and craft out Agentic intervention points and Day 1 use cases for 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 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 BigQuery, 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 core engineering
Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules
Job description
HCLTech is looking for a highly talented and self- motivated Agentic AI Architect to join it in advancing the technological world through innovation and creativity.
Job Title: Agentic AI Architect
Job ID: 145627
Position Type: Full-time
Location: Mountain View CA/ Remote
Role/Responsibilities
• 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 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 Enterprise App and Enterprise Agent Platform within client environments.
• You will architect and code the "connective tissue" that allows 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 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 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 BigQuery, 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 core engineering. Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules. Technical Requirements Domain Stack Expertise AI/ML Platform, Enterprise Agent Platform, Agent Studio, Vertex AI Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE) Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs
Pay and Benefits
Pay Range Minimum: 105,000 per year
Pay Range Maximum: 219,000 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, ****** 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.
Compensation and Benefits
A candidate’s pay within the range will depend on their work location, 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.
