Client-Facing AI Solutions Engineer

HCLTech; New Jersey; Hybrid; USD 123,000 - 213,000; Full time

Job summary

HCLTech in New Jersey (Hybrid) seeks a Forward Deployed Engineer to deliver AI-powered solutions for enterprise clients. You will translate requirements into production-ready systems, drive end-to-end deployments, and collaborate with senior engineers and consulting leads. Strong programming and cloud experience, plus stakeholder communication, are essential.

Join a fast-paced team focused on scalable, secure, and reusable AI components with opportunities for growth in AI/ML and data engineering.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• Total 15+ years of client-facing AI implementation experience.
• 5+ years in at least one programming language (Python, Java, SQL).
• 4+ years in consulting/advisory capacity, solving ambiguous problems for clients.
• Experience with APIs, data pipelines, or distributed systems.
• Familiarity with AWS, Azure, or GCP.
• Exposure to AI/ML concepts including LLMs and prompt engineering.
• Ability to work in client-facing delivery environments.

Responsibilities

• Solution implementation & delivery in client environments.
• Build and deploy AI-powered solutions, including LLM-based workflows.
• Develop components using Python, Java, SQL and modern frameworks.
• Collaborate with cross-functional teams to deliver integrated solutions.
• Support development, testing, and deployment activities.
• Provide client delivery support and communicate progress to stakeholders.

Skills

Python

Java

SQL

Client-facing

Cloud platforms

AI/ML concepts

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

API integration

Cloud platforms (AWS/Azure/GCP)

LLMs / prompt engineering

Job description

HCLTech in New Jersey (Hybrid) seeks a Forward Deployed Engineer to deliver AI-powered solutions for enterprise clients. You will translate requirements into production-ready systems, drive end-to-end deployments, and collaborate with senior engineers and consulting leads. Strong programming and cloud experience, plus stakeholder communication, are essential.

Join a fast-paced team focused on scalable, secure, and reusable AI components with opportunities for growth in AI/ML and data engineering.