Technology Architect L1(Contract)

Wipro•Minneapolis, MN

6d•$80,000 - $158,000

About The Position

Wipro is seeking a Forward Deployed Engineer to partner directly with UHG business teams to identify high-value problems and deliver AI-led automation and innovation under centralized council oversight. The role combines hands-on engineering, solution architecture, product thinking, consulting, and customer-facing execution. The engineer embeds with business and engineering teams to own AI outcomes in a defined business domain, delivering code-first solutions and contributing to active repositories. They discover business needs and translate them into MVPs, integrations, automations, and production-ready solutions. The role spans APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies. The position owns work from problem discovery through rapid prototyping, value validation, integration, adoption, and scale. It also includes documenting architectures and implementation guidance and sharing field learnings to inform product roadmaps, accelerators, and go-to-market propositions. The posting lists GenAI Consulting for Apps & Infra as a mandatory skill and describes the position as a contract role.

Requirements

4–8 years of experience in AI-led engineering, implementation, product, consulting, or customer-facing technology roles; the posting separately lists 8–10 years of experience.
Strong engineering fundamentals and hands-on coding experience in Python, JavaScript/TypeScript, Java, .NET/C#, or Go.
AI proficiency and proven hands-on experience; candidates may come from software engineering, data science, UX, or related domains.
Daily AI tool usage, demonstrable code contributions, and documented token usage.
Strong analytical thinking and ability to use data to derive AI solutions to business problems.
Strong understanding of APIs, databases, cloud services, authentication, integrations, and deployment.
Experience with data and analytics platforms and comfort working with structured and unstructured data.
Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, model integration, and model training.
Cloud experience with AWS, Azure, or Google Cloud.
Good communication, adaptability, and problem-solving skills in ambiguous environments.
Mandatory skill: GenAI Consulting for Apps & Infra.

Nice To Haves

Knowledge of machine learning algorithms, model building, deployment, deep learning, and NLP.
Experience integrating with Salesforce, Jira, Rally, Oracle, ServiceNow, Microsoft Dynamics, or similar platforms.
Familiarity with data engineering, ETL/ELT pipelines, BI dashboards, analytics, and reporting workflows.
Healthcare exposure, especially in contact centers, claims automation, finance, or technology services.

Responsibilities

Embed with business and engineering teams to own AI outcomes within a defined business domain.
Build and deliver AI solutions hands-on, with code-first delivery and active repository contributions.
Understand business processes, pain points, systems, data flows, and success metrics.
Translate business problems into MVPs, integrations, automations, and production-ready solutions.
Build across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies.
Own the journey from discovery to working solution, rapidly validating business value through pilots and proofs of concept.
Integrate solutions with enterprise platforms, data systems, workflows, collaboration tools, and third-party APIs.
Document architectures, implementation playbooks, reusable components, and customer-specific solution guides.
Feed field learnings into product roadmaps, accelerators, and go-to-market propositions.