Agentic AI Forward Deployed Engineer - Dallas, TX
3 days ago
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Quebec solutions inc, is seeking the following. Apply via Dice today
Greetings
We are seeking an experienced Agentic AI Forward Deployed Engineer .
Position: Agentic AI Forward Deployed Engineer
Duration: Long-term Contract
Location: Dallas, TX / Remote (Travel)
Employment Type: W2 / 1099 / H1 Transfer - (NO C2C)
Required Skills:
Strong AI/ML Acumen: Deep understanding of AI/ML concepts, methodologies, and frameworks. Experience with agentic AI, LLMs, machine learning pipelines, and model deployment strategies is highly desirable.
Cloud Deployment Expertise: Extensive hands-on experience with any of the major cloud platforms (AWS, Google Cloud Platform, Azure), including infrastructure-as-code, containerization (Docker, Kubernetes), serverless architectures, and managed AI/ML services.
Customer Engagement & Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Proven ability to build strong customer relationships and drive successful outcomes.
Problem-Solving & Adaptability: Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues in real-time. Comfortable working in fast-paced, dynamic environments with evolving customer needs.
Relevant Experience: [Specify desired years of experience, e.g., 5+ years] in a customer-facing technical role, such as Solutions Architect, or Forward Deployed Engineer, with a focus on Agentic AI or complex software deployments.
Qualifications
Engineering Expertise
10+ years in software engineering, infrastructure engineering, or applied ML engineering.
Strong proficiency in Python, TypeScript/JavaScript, or other backend languages.
Deep understanding of Agent development and agent orchestration techniques
Hands on experience in Lang chain, Lang watch, MCP, Vertex AI, Open AI
Experience deploying systems on cloud platforms (AWS, Google Cloud Platform, Azure) using Kubernetes and serverless frameworks.
Deep understanding of API design, distributed systems, and data engineering workflows.
DevOps & Infrastructure
Strong background in CI/CD pipelines, infrastructure as code (Terraform, Helm, Ansible).
Skilled in setting up monitoring, observability, and alerting (Prometheus, Grafana, ELK, Datadog).
Familiarity with performance profiling, scaling strategies, and SRE principles.
Security & Compliance Awareness
Knowledge of enterprise SaaS security models (SSO, RBAC, encryption, API security).
Experience working in environments subject to compliance frameworks (SOC2, HIPAA, GDPR).
Soft Skills
Excellent debugging and problem-solving in high-pressure deployment environments.
Strong communication with technical stakeholders (engineering teams, architects, CTOs).
Comfort working in fast-moving, ambiguous situations with minimal guidance.
Daniel Sapna
US IT Lead Recruiter
LinkedIn:
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