Job Description
Description
Remote\n
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\nOur client is a leading Fortune 100 telecommunications and connectivity organization focused on modernizing enterprise platforms through advanced cloud and artificial intelligence initiatives. As part of a strategic AI enrichment program, the organization is building a scalable agentic AI platform that will enhance business workflows across multiple departments and drive intelligent automation at enterprise scale.\n
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We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $90.00 to $100.00/hr. w2\n
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\nJN -092026-108760\n
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Responsibilities
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- Lead the architecture, design, and implementation of enterprise-scale Agentic AI solutions and intelligent workflow automation platforms.
- Build proof-of-concept and production-ready AI pipelines leveraging AWS Agent Core and modern agent-based architectures.
- Design and implement Retrieval-Augmented Generation (RAG) frameworks to support scalable enterprise knowledge retrieval and AI-driven decision-making.
- Define architectural standards, patterns, and best practices for AI agents, orchestration workflows, vector search, and enterprise data integration.
- Evaluate and recommend cloud platform strategies across AWS, GCP, and other emerging AI ecosystem technologies.
- Collaborate with business and technical stakeholders to translate complex requirements into scalable AI solutions.
- Provide technical leadership while remaining hands-on with prototyping, pipeline development, and solution implementation.
- Partner with cross-functional teams to identify opportunities for AI-driven process optimization and workflow enrichment.
- Communicate complex technical concepts to technical and non-technical audiences, including customer-facing discussions and executive-level presentations.
- Support enterprise adoption of AI capabilities through architecture reviews, technology assessments, and implementation guidance.
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Experience Requirements
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- 10+ years of experience in cloud architecture, software engineering, data platforms, or related technical fields.
- Proven experience architecting and delivering enterprise AI/ML solutions in large-scale environments.
- Strong hands-on experience with AWS Agent Core and building Agentic AI frameworks, workflows, and orchestration pipelines.
- Experience designing, implementing, and scaling Retrieval-Augmented Generation (RAG) architectures in enterprise environments.
- Demonstrated ability to develop proof-of-concept solutions and transition them into scalable production platforms.
- Experience evaluating or implementing cloud-native AI solutions across AWS and/or Google Cloud Platform (GCP).
- Strong understanding of large language models (LLMs), vector databases, embeddings, prompt engineering, and agent orchestration patterns.
- Experience integrating AI solutions with enterprise applications, APIs, and data ecosystems.
- Prior experience serving in an Architect, Principal Engineer, or similar technical leadership role.
- Exceptional communication and stakeholder management skills with the ability to simplify technical concepts for business audiences.
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Preferred Qualifications
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- Experience building internal AI platforms or AI Centers of Excellence.
- Knowledge of AI governance, security, scalability, and operational best practices.
- Experience with modern AI frameworks, agent orchestration tools, and vector search technologies.
- Telecommunications or large enterprise experience is a plus.
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Education Requirements
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- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline preferred.
- Relevant cloud and AI certifications are highly desirable.
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