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Bachelor's degree in Chemistry, Chemical Engineering, or a related field preferred, but equivalent hands-on plating experience will be considered * Strong problem-solving and communication skills

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Lead the RFC process by driving consensus across engineering and product boundaries. You don't rely on "title power"-you use data, benchmarks, and clear trade-off analysis to align stakeholders.

Details M365 Hands-On Architect Location: US-Based / Open to hire in AZ, WA, CO, CA Citizenship: US ... By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers ...

Engineering departments * Procurement * Distributors ## Additional Sales Opportunity The ... A hands-on approach We are looking for someone who wants to **build a market, create business and ...

Freelance/Contract Compensation: Competitive; based on experience and project scope Reports to ... This is a hands-on role perfect for someone who thrives outdoors, values sustainability, and wants ...

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As of Sep 4, 2026, the average hourly pay for freelance hands on engineering in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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Infographic showing various Freelance Hands On Engineering job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Engineering Manager, AI Platform (Hands-On)

1872 Consulting

Boston, MA • On-site

Full-time

Re-posted 9 days ago


Job description

Engineering Manager, AI Platforms (Hands-On)

Our client's AI Studio is seeking a hands-on Engineering Manager to lead the engineering execution of their AI systems and platform services. This role combines technical leadership, people management, and hands-on engineering. You will manage a team of AI engineers (U.S. and India) while contributing directly to architecture, code, and delivery of production AI systems. You will focus on raising engineering rigor, improving system architecture quality, ensuring scalable, reliable AI services, and driving consistent delivery execution. This role reports to the VP, Artificial Intelligence, and partners closely with Product and Domain leaders.

Scope of Responsibility:

  • Engineering execution quality
  • Platform architecture implementation
  • Team technical mentorship
  • Delivery predictability
  • Offshore team coordination

Responsibilities: AI Systems Engineering Leadership

  • Guide the team in building production-grade RAG pipelines and agentic systems
  • Establish practical patterns for multi-model orchestration and inference reliability
  • Ensure AI systems include cost controls, fallback strategies, and evaluation frameworks
  • Review and improve agent safety, tool invocation patterns, and guardrails

Architecture & Distributed Systems Quality

  • Lead architecture reviews for new AI services.
  • Improve API design standards, versioning practices, and event-driven patterns
  • Ensure proper handling of retries, idempotency, and asynchronous workflows
  • Drive adoption of observability and monitoring best practices
  • Identify and remediate architectural debt.

Team Leadership

  • Directly manage AI engineers in the U.S.
  • Provide technical oversight and structured guidance to offshore India engineers
  • Conduct code reviews and system design reviews
  • Coach engineers in distributed systems thinking and production hardening
  • Improve sprint execution discipline and technical accountability

Delivery & Operational Excellence

  • Ensure AI solutions move from prototype to production reliably
  • Partner with Product and Domain AI leads to translate requirements into well-architected systems
  • Coordinate closely with DevOps on deployment, CI/CD, and infrastructure standards
  • Improve predictability in delivery timelines and system reliability

Qualifications

  • 8 years of professional software engineering experience
  • 2+ years developing enterprise AI applications
  • 2+ years of people management or technical team leadership
  • Hands-on experience building LLM-integrated applications
  • Experience with RAG pipelines, vector databases and agentic stacks
  • Strong background in backend and distributed systems design
  • Strong AWS experience (Lambda, ECS/EKS, API Gateway, SQS/SNS, Step Functions, Bedrock)
  • Proven ability to lead offshore or distributed teams
  • Strong coding proficiency in Python and one of Java, NodeJS, Rust or Kotlin

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014