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.
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.
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.
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.
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").
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 Dallas, Texas.
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 Dallas,Texas.
Application Deadline
This position is anticipated to close on May 8, 2026.
Diversity, Equity & Inclusion
At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I is embedded into our culture through:
Hiring diverse talent
Maintaining an inclusive environment through persistent self-reflection
Building a culture of care, engagement, and recognition with clear outcomes
Ensuring growth opportunities for our people
Actalent is an equal opportunity employer.
About Actalent
Actalent is a global leader in engineering and sciences services. For more than 40 years, we've helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC-with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day.
Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands. Learn more about how we can work together at actalentservices.com.
