Technical Specialist

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence · Software Engineering

Join for updates

In short

We are looking for a Technical Specialist with expertise in Python, Flask, Django, API development, Generative AI concepts, and Google Cloud's Vertex AI platform. The role involves building, coding, and testing solution components, operationalizing AI/agentic capabilities, and managing cloud infrastructure and DevOps practices.

Responsibilities

Build, code, and unit-test solution components using Vertex AI Model Garden, Python, Flask, and Django.
Design, develop, evaluate, and operationalize AI/agentic capabilities using generative AI concepts and Vertex AI Pipelines.
Design, provision, configure, migrate, and tune platform components using Docker, Kubernetes, cloud infrastructure, and DevOps practices.
Apply sound software engineering, configuration, and quality practices.
Ensure adherence to secure coding, data handling, and access-control practices.
Analyze and validate AI/ML use cases, agent workflows, and responsible-AI expectations.
Translate stakeholder needs into functional requirements and user stories.
Facilitate requirement reviews, solution walkthroughs, demonstrations, and UAT coordination.
Maintain functional specifications, process flows, decisions, risks, and dependencies.
Lead stakeholder alignment, prioritization, and cross-team dependency resolution.
Support release readiness, user enablement, knowledge transfer, and post-go-live stabilization.

Requirements

Proven expertise in Python development, including Flask and Django.
Solid understanding of API development principles and best practices.
Strong understanding of generative AI concepts and techniques.
Hands-on experience with Google Cloud's Vertex AI platform (Vertex AI Pipelines, Vertex AI Model Garden).
Familiarity with OpenAPI standards.
Experience with containerization technologies (Docker, Kubernetes).
Knowledge of cloud infrastructure and DevOps practices.
Strong analytical, debugging, and problem-solving skills.
Strong verbal and written communication skills.
Approximately 7 to 10 years of relevant industry experience aligned to the Senior Engineer band.
Working knowledge of AI domain standards, compliance expectations, and business processes.

Benefits

Supercharge your potential.
Find your career.
Find your spark.
A place that knows that helping its customers stay on top starts by putting its people first.
Global technology company with over 223,000 people across 60 countries.
Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

Skills

PythonFlaskDjangoAPI DevelopmentGenerative AIVertex AIVertex AI PipelinesVertex AI Model GardenDockerKubernetesCloud InfrastructureDevOpsSoftware EngineeringProblem SolvingCommunicationOpenAPI

#Technical Specialist#Python#Flask#Django#API Development#Generative AI#Vertex AI#Docker#Kubernetes#Cloud Infrastructure#DevOps#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…

See all open jobs at HCLTech Read more about HCLTech Website