Location: Houston, TX (4 days of the week Monday - Thursday) and work from home on Friday
Duration - 6+ months
Interview Process:
: 2 virtual rounds
Rate : not to exceed $55 - 60 C2C rate.
JOB DESCRIPTION:
Wipro is seeking a highly skilled
Senior AI Engineer
to design, build, and scale enterprise-grade AI and machine learning solutions. This role will work closely with business and technical stakeholders to implement
agentic AI , advanced analytics, and automation solutions that enhance decision-making and operational efficiency. The ideal candidate will bring deep expertise in
Microsoft Azure AI services , MLOps, and cloud-native architectures, with a strong focus on delivering reliable, scalable, and secure production systems.
Key Responsibilities
Partner with business and technical stakeholders to identify opportunities and deliver AI/ML solutions that drive automation, efficiency, and improved decision-making.
Design and implement
cloud-native AI architectures
leveraging Microsoft Azure services and established design patterns.
Collaborate with Data Scientists and AI Engineers to transition prototypes into scalable, production-ready solutions.
Build, deploy, and manage
enterprise-scale machine learning pipelines , ensuring high performance, reliability, and security.
Develop and orchestrate infrastructure for low-latency, resilient AI workloads using infrastructure-as-code and automation practices.
Contribute to reusable frameworks, accelerators, and templates to enhance delivery consistency and speed across teams.
Implement and support
CI/CD pipelines , monitoring, and operational best practices for AI/ML systems in production environments.
Required Technical Skills
Strong experience with
Microsoft Azure , including AI/ML services and cloud-native architecture.
Hands-on experience with
Azure Machine Learning
for deploying and managing ML pipelines.
Proficiency in
Python
and modern software engineering best practices.
Experience with automation and configuration management tools (e.g., Ansible).
Solid understanding of
MLOps , model lifecycle management, and CI/CD for AI systems.
Experience with
containerization and orchestration
technologies (e.g., Docker, Kubernetes).
Knowledge of enterprise cloud
security, identity, and access management
practices.
Preferred Qualifications
Experience with
Microsoft Foundry .
Hands-on experience with
agentic AI systems
or intelligent automation frameworks.
Familiarity with data engineering tools such as
Databricks, Apache Spark, and Azure Data Factory .
Experience integrating AI services, including cognitive services, computer vision, and unstructured data processing.
Experience Requirements
5+ years of experience in AI engineering, machine learning engineering, or software engineering roles.
Proven track record of delivering
production-grade AI/ML solutions
in cloud environments.
Experience collaborating across cross-functional teams, including data science, engineering, and architecture.
Ways of Working
Ability to work independently while effectively collaborating within distributed teams.
Strong communication skills with the ability to translate complex technical concepts into clear, business-friendly language.
Results-driven mindset with a focus on delivering scalable solutions and measurable business value.