Ai Engineer

REMOTE - AI

Solutions Engineer We are seeking an experienced AI Solutions Engineer to embed directly within Product Service Lines (PSLs) and deliver production-ready, multi-agent AI systems. This role blends hands-on engineering, solution architecture, stakeholder partnership, and operational ownership. You will take AI solutions from discovery through go-live, ensuring reliability, adoption, and measurable impact. You will operate as the primary AI engineering point of contact for short, sprint-based engagements, owning delivery end-to-end while helping standardize patterns that scale across the organization. This role is remote if you are located in Dallas. Key Responsibilities1. Embedded Delivery & Stakeholder Partnership + Embed within assigned PSLs as the primary AI engineering lead. + Lead discovery sessions with PSL subject matter experts to clarify: + Business goals and success criteria + Workflow realities and user adoption requirements + Technical, data, and compliance constraints + Deliver bi-weekly demos (minimum) and maintain continuous stakeholder alignment from discovery through go-live. + Execute against PSL sponsor priorities while maintaining engineering rigor, security, and production readiness. 2. Solution Architecture & Multi-Agent Development + Translate business requirements into: + Agent architectures + Data and integration requirements + Clear execution plans + Design and build multi-agent systems using: + Azure AI Foundry + LangGraph (routing, state, memory, tools, retries, fallbacks, guardrails) + Integrate agents with enterprise systems as needed (e.g., SharePoint, Teams, Azure AI Search, Databricks, SQL, internal/external APIs). + Make pragmatic engineering tradeoffs to deliver value quickly without sacrificing maintainability, reliability, or security. 3. Production Deployment & Operational Readiness (You Own This) + Deploy solutions into production, primarily as Azure-hosted services, typically using containers. + Implement production-grade practices including: + Environment separation + Configuration and secrets management + Telemetry-by-default + Rollback-friendly release strategies + Design solutions that operate effectively within enterprise constraints (identity, access, compliance, platform standards) without requiring deep specialization in any single corporate system. 4. Agent Ops by Design (Tracing, Logging, Registration) + Ensure all delivered agents follow established observability and tracing standards. + Instrument systems using supported tooling such as: + Application Insights + Agent 365 + LangSmith + Contribute to defining and adopting agent registration standards, including: + Required metadata + Automated population + Consistent inventory and visibility across the organization + Help standardize foundational delivery patterns so teams can scale without rebuilding core infrastructure. 5. Evaluation Discipline & Performance Improvement + Establish robust evaluation approaches that combine: + Curated golden datasets + Human review workflows + Automated testing (pre- and post-go-live) + Create and maintain evaluation datasets as first-class delivery artifacts: + Labeling strategies + Edge-case coverage + Regression test packs + Clearly explain evaluation metrics: + How they're calculated + When they're reliable + How they drive concrete system improvements (not "metrics theater"). 6. Reusable Patterns & Enablement (Avoiding Dev Bottlenecks) + Create reusable assets such as: + Reference architectures + Templates and scaffolds + Test harnesses + Practical "how-to" playbooks + Coach and enable other teams building agents (Copilot Studio experience a plus) by sharing: + Delivery patterns + Guardrails + Integration guidance + Operational expectations Qualifications + Strong experience designing and delivering production AI systems. + Hands-on experience with agent-based architectures and modern LLM orchestration. + Azure-native development and deployment experience. + Solid software engineering fundamentals (testing, observability, CI/CD mindset). + Ability to communicate clearly with both technical and non-technical stakeholders. + Comfortable working in ambiguous, fast-moving environments with real delivery ownership. Nice to Have + Experience with Copilot Studio enablement. + Prior work in enterprise-scale AI platforms. + Experience creating internal standards, templates, or developer enablement materials. Job Type & Location This is a Contract to Hire position based out of Houston, TX. Pay and Benefits The pay range for this position is $70.00 - $90.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Houston,TX.

Application Deadline This position is anticipated to close on Jun 26, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.