Senior AI/ML Engineer

Overview

On Site
$50 - $60
Contract - W2

Skills

Adaptability
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Computer Science
Decision-making
Emerging Technologies
FOCUS
Generative Artificial Intelligence (AI)
IT Strategy
Innovation
LangChain
Leadership
Machine Learning (ML)
Mentorship
Microservices
Network
Orchestration
PyTorch
Rapid Prototyping
Research
Roadmaps
Scalability
Software Architecture
Strategic Planning
TensorFlow

Job Details

Note: No C2C

JOB TITLE Senior AI/ML Engineer
LOCATION Plano, TX or Bellevue, WA (Onsite)
DURATION - Long-term contract
Job description:

We are looking for a visionary Software Lead to spearhead the evolution of the Veloce platform by integrating next-generation technologies such as Agentic AI, AI/ML, and intelligent automation.

This role is critical in shaping the platform s readiness for tomorrow s networks, ensuring scalability, adaptability, and intelligence at its core.

Key Responsibilities:

Technology Strategy & Vision

o Define and drive the architectural roadmap for next-gen capabilities in the platform.

o Evaluate and integrate emerging technologies such as Agentic AI, Generative AI, and advanced ML models.

o Identify innovation opportunities aligned with future network demands (e.g., autonomous networks, edge intelligence, 6G readiness).

Architecture & Platform Design

o Architect modular, scalable, and intelligent systems that can evolve with technological advancements.

o Design AI/ML pipelines, agent-based systems, and data-driven decision-making frameworks.

o Ensure interoperability, performance, and resilience in distributed environments.

Innovation & Prototyping

o Lead rapid prototyping and proof-of-concept initiatives to validate new ideas and technologies.

o Collaborate with research teams and external partners to stay ahead of the curve.

Collaboration & Leadership

o Work closely with product managers, engineering teams, and customer

stakeholders to align architecture with business goals.

o Mentor teams on AI/ML best practices, agent-based design, and platform modernization.

o Represent the architecture function in strategic planning and technical governance forums.

Required Qualifications:

  • Bachelor s or Master s degree in Computer Science, AI, or related field.
  • Experience in software architecture, with a strong focus on AI/ML and distributed systems.
  • Proven experience designing and deploying AI/ML solutions in production environments.
  • Deep understanding of Agentic AI concepts, multi-agent systems, and intelligent orchestration.
  • Familiarity with cloud-native architectures, microservices, and event-driven systems.

Preferred Skills:

  • Experience with LLMs, reinforcement learning, or autonomous agents.
  • Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain).
  • Knowledge of network technologies and future trends (e.g., 5G/6G, edge computing).
  • Strong communication and leadership skills with a passion for innovation.
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