Key skills
PythonAIMLGenAILLMGeminiRAGAgenticLookerBigQuerySparkVertex AI
About this role
We are HCLTech, one of the fastest-growing large tech companies in the world and home to 220,000 people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. (;)
The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you ll thrive in, then you re in the right place.
Job Title: AI Engineer Agentic AI
Job ID:98586
Position Type: Full-time
Location: St Louis, MO (Remote-OK)
Role Summary
The AI Engineer will design, develop, and operationalize agentic AI capabilities using Google Gemini and Vertex AI, enabling intelligent marketing decisions, agent to agent orchestration (A2A), and closed loop learning.
This role blends ML engineering, LLM reasoning, and domain aware solutioning for regulated, real world agricultural use cases.
Key Responsibilities
Build Gemini powered AI agents (e.g., campaign recommendation, grower readiness, channel optimization).
Implement A2A orchestration patterns (agents calling other agents, escalation logic, confidence thresholds).
Ground LLM outputs using enterprise data (BigQuery, Feature Store, CDP).
Embed regulatory guardrails using policy aware prompting, validation layers, and agent gating.
Required Skills & Experience
Total-10+yrs experience
5+ years in ML/AI engineering with at least 2+ years in LLMs or GenAI.
Hands on experience with Vertex AI, Gemini, or comparable LLM stacks.
Strong Python, API based architectures, async workflows.
Experience with RAG, tool calling, agent frameworks, and ML pipelines.
Familiarity with regulated domains (life sciences, agri tech, finance preferred).
Nice to Have
Experience in agriculture, supply chain, or B2B marketing tech.
Knowledge of BigQuery ML, Feature Store, or Looker APIs.
Experience building explainable or auditable AI systems.
Pay and Benefits
Pay Range Minimum: $95,000per year
Pay Range Maximum: $155,000 per year
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.
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 for investigation.
The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you ll thrive in, then you re in the right place.
Job Title: AI Engineer Agentic AI
Job ID:98586
Position Type: Full-time
Location: St Louis, MO (Remote-OK)
Role Summary
The AI Engineer will design, develop, and operationalize agentic AI capabilities using Google Gemini and Vertex AI, enabling intelligent marketing decisions, agent to agent orchestration (A2A), and closed loop learning.
This role blends ML engineering, LLM reasoning, and domain aware solutioning for regulated, real world agricultural use cases.
Key Responsibilities
Build Gemini powered AI agents (e.g., campaign recommendation, grower readiness, channel optimization).
Implement A2A orchestration patterns (agents calling other agents, escalation logic, confidence thresholds).
Ground LLM outputs using enterprise data (BigQuery, Feature Store, CDP).
Embed regulatory guardrails using policy aware prompting, validation layers, and agent gating.
Required Skills & Experience
Total-10+yrs experience
5+ years in ML/AI engineering with at least 2+ years in LLMs or GenAI.
Hands on experience with Vertex AI, Gemini, or comparable LLM stacks.
Strong Python, API based architectures, async workflows.
Experience with RAG, tool calling, agent frameworks, and ML pipelines.
Familiarity with regulated domains (life sciences, agri tech, finance preferred).
Nice to Have
Experience in agriculture, supply chain, or B2B marketing tech.
Knowledge of BigQuery ML, Feature Store, or Looker APIs.
Experience building explainable or auditable AI systems.
Pay and Benefits
Pay Range Minimum: $95,000per year
Pay Range Maximum: $155,000 per year
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.
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 for investigation.