AI Engineer

Artifintech; Dallas (TX); In loco; USD 89.000 - 126.000; Tempo pieno

Descrizione del lavoro

Artifintech seeks an AI Engineer in Dallas to partner with business teams and deliver AI‑led automation and innovation. You will be embedded within business units to own AI outcomes, build practical solutions, and drive measurable AI outcomes with code‑first delivery.

The role blends hands‑on engineering, solution architecture, and customer‑facing execution, requiring experience across cloud services and APIs. Expect a 12‑month contract with potential extension and a competitive hourly bill rate.

Competenze

• 4–8 years in AI led engineering, implementation, product, consulting, or customer‑facing tech roles.
• AI proficiency is mandatory; candidates may come from software eng, data science, UX, or related domains with hands‑on experience.
• Daily AI tool usage, demonstrable code contributions, and documented token usage.
• Strong analytical thinking and ability to derive AI solutions from data to solve business problems.
• Strong understanding of APIs, databases, cloud services, authentication, integrations, and deployment.
• Experience in Data and analytics platforms.
• Comfortable with structured and unstructured data.
• Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, model integration and model training.
• Cloud experience across AWS, Azure, or Google Cloud.
• Good communication, adaptability, and problem‑solving in ambiguous environments.

Mansioni

• Embed with business and engineering teams to own AI outcomes within a defined business domain.
• Build and deliver AI solutions hands‑on; this is an execution role, not an advisory role.
• Convert AI potential into production value through code‑first delivery and active repository contributions.
• Integrate 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 roadmap, accelerators, and go‑to‑market propositions.

Conoscenze

AI proficiency

GenAI experience

Cloud experience

API integrations

Data analytics

Strong communication

Strumenti

Salesforce

Jira

Rally

Oracle

ServiceNow

Microsoft Dynamics

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer

Location: Dallas, TX

Duration: 12 Months + Extension

Bill Rate: $78/hour

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

Role Overview

We are looking for a Forward Deployed Engineer (FDE) who partners directly with business teams to identify high-value problems and deliver AI-led automation and innovation under centralized council oversight.

An FDE in UHG is an empowered AI builder embedded within business units to understand real-world context, build practical solutions, and drive measurable AI driven outcomes.

The role blends hands‑on engineering, solution architecture, product thinking, consulting, and customer‑facing execution.

Key Responsibilities :

• Embed with business and engineering teams to own AI outcomes within a defined business domain.
• Build and deliver AI solutions hands‑on; this is an execution role, not an advisory role.
• Convert AI potential into production value through code‑first delivery and active repository contributions.

2. Problem Discovery and Solution Design

• Understand business processes, pain points, systems, data flows, and success metrics.
• Translate problems into MVPs, integrations, automations, and production‑ready solutions with an ownership mindset
• Build across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies.

3. Rapid Prototyping and Value Validation

• Own the journey from discovery to working solution, rapidly proving business value through pilots and POCs

4. Integration, Adoption, and Scale

• Integrate 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 roadmap, accelerators, and go‑to‑market propositions.

Required Skills and Experience

• 4–8 years of experience in AI led engineering, implementation, product, consulting, or customer‑facing technology roles.
• AI proficiency is mandatory; candidates may come from software engineering, data science, UX, or related domains with proven hands on experience.
• Daily AI tool usage, demonstrable code contributions, and documented token usage.
• Strong analytical thinking and expertise in effectively utilizing data to derive AI solutions to solve business problems.
• Strong understanding of APIs, databases, cloud services, authentication, integrations, and deployment.
• Experience in Data and analytics platforms.
• Comfortable with structured and unstructured data.
• Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, model integration and model training.
• Cloud experience across AWS, Azure, or Google Cloud.
• Good communication, adaptability, and problem‑solving in ambiguous environments.

Good to Have

• Knowledge of ML 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 contact centers, claims automation, finance, or technology services

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.