Jobs in the United States

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Added 1 min ago
Sr Databricks Data Engineer
Deloitte
New York, NY
…data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that…
Added 1 min ago
Databricks Data Engineer
Deloitte
New York, NY
…scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that…
Added 1 min ago
Data Engineer II
Deloitte
New York, NY
The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions,…
Added 2 mins ago
Data Products Designer
IBM
New York, NY
Design logical and physical data models (conceptual, dimensional, and lakehouse/medallion layers) for data products on Databricks and AWS.
Added 52 mins ago
Data Products Designer
IBM
Denver, CO
Design logical and physical data models (conceptual, dimensional, and lakehouse/medallion layers) for data products on Databricks and AWS.
Added 1 hour ago
Palantir Engineer - AI and Data Science Engineer III
Deloitte
Huntsville, AL
As a Palantir Engineer - AI and Data Science Engineer III on the AI & Data team, you will be responsible for:
Added 2 hours ago
DATA ENGINEERING SR MANAGER
Dollar General
Goodlettsville, TN
Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.
Added 2 hours ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
As a Senior Data Engineer on the PI CAP Data Engineering team within Optum Insight based in Eden Prairie, MN, you will join an innovative technology group responsible for architecting,…
Added 2 hours ago
Sr Architect I
Staples Canada
Framingham, MA
Working knowledge of customer data platforms, relational and NoSQL data stores, data streaming, and unified platforms for data, analytics, and AI (Databricks).
Added 4 hours ago
Senior Platform Engineer - NBA
Humana
Montpelier, VT
The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
Added 4 hours ago
Senior Decision Intelligence Engineer
Humana
Montpelier, VT
The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
Added 4 hours ago
DevOps Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer based in the United States.
Added 5 hours ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
As a Senior Data Engineer on the PI CAP Data Engineering team within Optum Insight based in Eden Prairie, MN, you will join an innovative technology group responsible for architecting,…
Added 6 hours ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
UNAVAILABLE · Richland, WA
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 8 hours ago
Product Manager - Acxiom Global Capabilities
Acxiom
Phoenix, AZ
Proven and Demonstratable knowledge of major cloud platforms like Snowflake, DataBricks or similar
Added 9 hours ago
Senior Data Engineer, Data Products & Platforms
Vizient
Chicago · Irving · Centennial
…curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data…
Added 9 hours ago
AI/ML Engineer Team Lead
Vizient
Chicago · Irving · Centennial
Experience with Databricks, vector databases, embeddings, reranking, semantic search, or enterprise knowledge-retrieval platforms preferred.
Added 9 hours ago
Senior AI/ML Engineer
Vizient
Chicago · Irving
Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, Databricks, or Azure Service Bus preferred.
Added 11 hours ago
Sr Databricks Data Engineer
Deloitte
Boston, MA
…data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that…
Added 11 hours ago
Databricks Data Engineer
Deloitte
Boston, MA
…scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that…
Added 11 hours ago
Data Engineer II
Deloitte
Boston, MA
The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions,…
Added 11 hours ago
Staff AI Engineer
General Motors
Boston, MA
…Marketing, and Global Markets. This is a hands-on Staff AI Engineer role for an experienced individual contributor who can move from business problem framing and analytical discovery…
Added 11 hours ago
SO
Senior AI Engineer
State of Massachusetts
Boston, MA
- $89,993.11 USD / year
…with experience)** GENERAL STATEMENT OF DUTIES: The Senior AI Engineer designs the architecture for, builds, and deploys AI-enabled applications in OSA's Microsoft GCC environment. Working…
Added 11 hours ago
Database Analyst (Information Systems Specialist 7)
Oregon Health Authority
Remote, United States
…Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Microsoft Purview, and related data integration…
Added 11 hours ago
Senior Data Visualization Engineer (Hybrid - Aguadilla, PR)
RTX
United States
Collins Aerospace is looking to hire a motivated Data Visualization Engineer, experienced in business intelligence and data visualization, to join our Advanced Structures Engineering…

Covalent Resource Group

AI DevOps Engineer

Southfield, MI, United States

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Job details

Posting language: English
Posted: Oct 29, 2026

Original job description

POSITION SUMMARY:

We are looking for an AI DevOps Engineer to own how our client’s AI systems get deployed, stay up, and stay observable. You will own the infrastructure and operational substrate for our client’s agentic platform - the CI/CD pipelines, the cloud environments, the release machinery, the reliability practice, and the telemetry layer that turns opaque agent behavior into something you can measure, alert on, and debug.

Our client’s engineers build the AI agents; you make shipping them safe, repeatable, and observable. Right now, most of their apps have no CI/CD, the infrastructure is fragmented, and the agentic systems being stood up have little more than print statements for observability. Building that operational foundation is the job.

Agentic systems fail differently from ordinary services - nondeterministic output, silent quality drift, runaway tool-call loops, and cost that spikes without warning. Standard DevOps is necessary but not sufficient. This role exists because someone has to own reliability and telemetry for systems that don’t fail the way the runbooks assume.

KEY JOB RESPONSIBILITIES:

Own CI/CD for the platform. Build the pipelines that take AI systems from commit to production - automated testing, evaluation gates, security and dependency checks, controlled and canary releases, and one-command rollback. Most of their apps have no pipeline today; you will establish the pattern and make the safe path the default path.

Manage cloud infrastructure as code. Own the cloud environments (AWS primarily) the platform runs on - provisioning, networking, secrets, environment parity, and cost controls - as versioned, reviewable infrastructure-as-code, not hand-tuned consoles. You are accountable for environments that are reproducible, least-privilege by default, and cheap to stand up and tear down.

Run the reliability practice. Own production reliability: SLOs, on-call and incident response, capacity and cost management, self-healing loops that detect and recover from failures, and blameless post-incident review. You will help define what “up” and “healthy” even mean for a nondeterministic system.

Build the agent telemetry and observability layer. Instrument the platform so agent behavior is legible: structured traces of agent runs and tool calls, token and cost accounting, latency and success metrics, output-quality tracking over time, and the dashboards and alerts that surface a regression before a user does. When an agent misbehaves in production, the telemetry you built is how the team finds out and figures out why.

Set the operational standard by example. On a small, high-leverage team, your pipelines and dashboards are the template. You establish the deployment patterns others adopt, the observability every new system gets wired into by default, and the operational discipline that lets a lean team run production systems well.

REQUIRED KNOWLEDGE, EDUCATION, EXPERIENCE, SKILLS, AND ABILITIES:

6–8 years in DevOps, SRE, platform, or infrastructure engineering, with a track record of running production systems you were accountable for
Deep CI/CD experience - you have built and owned pipelines (GitHub Actions, GitLab CI, or similar) that gate, test, and safely release real production software
Strong cloud operations, ideally AWS - provisioning, networking, secrets, and cost management as infrastructure-as-code (Terraform, CDK, or similar)

Hands-on observability experience - metrics, logging, distributed tracing, dashboards, and alerting (OpenTelemetry, Prometheus/Grafana, Datadog, CloudWatch, or similar) - and the instinct to instrument first

SRE fundamentals: SLOs, incident response, on-call, capacity planning, and blameless postmortems

NICE TO HAVE:

Experience operating AI or LLM systems in production - token and cost accounting, prompt and evaluation-score tracking, or LLM observability tooling (LangSmith, Langfuse, Arize, or similar)
Familiarity with the failure modes of nondeterministic systems: quality drift, runaway loops, cost spikes, non-reproducible output
Experience with Databricks or a similar lakehouse platform, and with tool-integration layers such as MCP
Container and orchestration experience (Docker, Kubernetes, or serverless equivalents)
Experience in a non-software-company engineering organization - internal tools, corporate IT transformation, or similar
Experience standing up an internal platform or golden-path deployment pattern that other teams adopted

WHY THIS ROLE:

You will build the operational foundation an entire organization’s AI runs on - the pipelines, the environments, and the telemetry - with a clear mandate and a direct line to the Director of APEX. The platform is early, and that is the appeal. You are not tuning someone else’s mature platform; you are building the deployment and observability substrate our client will run AI on for the next decade and defining what running AI in production looks like there.

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