Remote jobs in the United States

25+ jobs

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Added 17 hours ago
Sales Solutions Engineer - Ed Tech
Coursedog
Remote, United States
Act as SME for product, security, and integration questions; build ROI analyses for strategic accounts.
Added 18 hours ago
Online Software Development Adjunct Faculty - Artificial Intelligence / Generative AI / Applied AI Development
ECPI University
Remote, United States
…development practices to serve as a Subject Matter Expert (SME). This role leads the integration of AI tools, responsible development principles, and modern software engineering practices…
Added 22 hours ago
Systems Engineers SME – TS/SCI
Xcelerate Solutions
Remote, United States
Xcelerate Solutions is currently seeking a SME Systems Engineer for this effort will be responsible for building, maintaining, and providing guidance for integration with hosting…
Added 22 hours ago
IG
REMOTE Data Engineer
Insight Global
Remote, United States
- From $51 USD / hour
We are in search of a Data Engineer who will be responsible for successful delivery of large-scale cloud based applications. You will design data marts and data models to support Data…
Added 1 day ago
GM
Technical Support Engineer 2
GE Medical Systems Information Technologies, Inc.
Remote, United States
- $108,000 to $162,000 USD / year
The Technical Support Engineer 2 (TSE II) drives customer satisfaction through Service Excellence by providing advanced technical support, implementation leadership, project participation,…
Added 1 day ago
Senior Informatics Architect
TetraScience
Remote, United States
…Services while partnering with others to deliver successful integration across the Tetra Data Platform. This role is responsible for enabling the data in our platform to be both…
Added 1 day ago
Senior Informatics Architect
TetraScience
Remote, United States
…Services while partnering with others to deliver successful integration across the Tetra Data Platform. This role is responsible for enabling the data in our platform to be both…
Added 1 day ago
Requirements Engineer
Peraton
Remote, United States
Peraton is seeking a motivated Requirement Engineer. This position is 100% remote.
Added 1 day ago
Space Force MUOS Integration and Test Architect
General Dynamics Mission Systems, Inc
Remote, United States
The responsibility is career-defining. So is the opportunity. At General Dynamics Mission Systems, we invent the technologies, products and services, that help our nation’s heroes keep our…
Added 2 days ago
Principal Technical Consultant
ServiceNow
Remote, United States
Devising integration development plans and strategies while formulating architectures for systems integrations.
Added 2 days ago
Lead Data/ETL Engineer
DecisionPoint | Cortek
Remote, United States
This SME-level position will maintain and optimize SQL Server Integration Services (SSIS), implement approved API integrations and incremental loading approaches, and build raw,…
Added 2 days ago
AI/ML & MLOps Engineer (SME)
DecisionPoint | Cortek
Remote, United States
This SME-level position will maintain training, validation, and testing datasets; design and operate production ML architectures; automate model deployment; monitor model performance and…
Added 3 days ago
E
Senior Electrical Engineer
EdgeConneX
Remote, United States
- $190,000 to $200,000 USD / year
The role is positioned above the regional Electrical SME baseline and below the Principal Electrical Engineer. Like the regional SME, this engineer engages at the milestones where deep…
Added 3 days ago
Senior Software Engineer
Travel Leisure Resort Development Inc
Remote, United States
The Senior Software Engineer is responsible for the analysis, design, development, testing and implementation of API proxies and integration services on the Google Apigee platform within…
Added 4 days ago
EMC/EMI System Engineer (SME)
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 an EMC/EMI System Engineer (SME) based in United States .
Added 4 days ago
Azure SQL DB SME
i4DM
Remote, United States
We are seeking an experienced Azure SQL DB SME to serve as the technical authority for the design, deployment, security, performance, and operation of Azure SQL database solutions…
Added 5 days ago
ME
Senior Engineer, CNC Technical Solutions
Mitsubishi Electric US, Inc.
Remote, United States
- $85,600 to $117,700 USD / year
Under limited supervision, the Senior Engineer, CNC Technical Solutions provides advanced technical expertise and application support for Mitsubishi Electric CNC products and related…
Added 5 days ago
S
Senior EPMS Design Engineer
Serverfarm
Remote, United States
- $130,000 to $140,000 USD / year
We are seeking a Senior EPMS Design Engineer who thinks in terms of scalable, mission-critical systems and high-reliability operational architectures. As a senior member of the Controls…
Added 8 days ago
Systems Engineer
LEIDOS, INC.
Remote, United States
This Systems Engineering (SE) opportunity on the U.S. Navy’s Service Management, Integration, and Transport (SMIT) will allow participation on a high-visibility DoD program that provides…
Added 9 days ago
Senior Application Specialist � Oracle Fusion
Brookdale Senior Living Inc.
Remote, United States
Integration & Data Management: Facilitating data migration and integration with other systems using tools like FBDI (File-Based Data Import), REST/SOAP APIs, and OIC (Oracle Integration…
Added 9 days ago
Power Developer
Intersect
Remote, United States
…power development sectors; or 3-5 years as a sales or project engineer with a major EPC or power systems OEM (or equivalent experience in energy consulting or investment…
Added 9 days ago
Solutions Engineer - Agents & Automation
SHI International Corp
Remote, United States
…selection, orchestration, grounding, evaluation, tool and function integration, and connectivity with Copilot Studio and enterprise…
Added 10 days ago
A
Natural Gas Compression Subject Matter Expert (SME) - Remote
AECOM
Remote, United States
- $130,000 to $190,000 USD / year
Proven track record as a Lead Engineer or SME on large-scale natural gas compression station projects (greenfield or major brownfield expansions).
Added 11 days ago
Director, Risk Intelligence Solutions Consultant - Healthcare
Equifax, Inc
Remote, United States
7+ years of experience as a Solutions Engineer, Solutions Consultant, or Technical Integration Architect in healthcare data, FinTech, or employment screening.
Added 11 days ago
Sr. Infrastructure Solutions Engineer (Compute & Storage)
Cloudera Inc.
Remote, United States
Serve as a technical Subject Matter Expert (SME), working with IT Systems, CloudOps, Security, and Engineering teams to design and implement robust, scalable, and optimal solutions.

TetraScience

Lead Software Platform Engineer, MLOps

Remote, United States

The salary range for this position is $200K-$270K USD.

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Job details

Pay: The salary range for this position is $200K-$270K USD.
Posting language: English
Posted: Oct 16, 2026

Original job description

Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. The Role We're looking for a Lead Software Platform Engineer working at the intersection of distributed systems and MLOps. You will own and scale our AI and data infrastructure as a product our customers build their science on, and that every other engineering team builds against. You will architect the cloud-based services and MLOps infrastructure that enable production-grade AI/ML workflows, working closely with Applied AI engineers, data engineers, and platform teams, and you will act as the technical design authority for how models, LLMs, and agents run in production. The work spans the model and prompt lifecycle, the evaluation and observability harness, the security and tenant boundaries around prompts and retrieval, and the cost and latency controls that keep production AI economically viable at scale. This is a highly impactful seat for an engineer who has shipped AI/ML infrastructure as a multi-tenant product rather than internal tooling. The model serving, MCP, and agent capabilities you build are consumed directly by scientists at the world's largest pharmaceutical companies, running against their own data under their compliance obligations. If that scope appeals to you, and you thrive on turning ambitious scalability and cost targets into concrete technical strategy inside a regulated environment, we'd love to talk to you. What You Will Do

Own the technical architecture of the AI/ML platform: the service and API surface our customers use to run models and agents against their own scientific data, and that Applied AI and data engineering teams build against internally.
Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving.
Design the inference substrate for both real-time and batch AI workloads, including routing, batching, caching, concurrency control, GPU and accelerator capacity planning, handling of large binary inputs such as instrument images, and graceful degradation under load.
Integrate AI models and large language models (LLMs) into production systems using architectures like retrieval-augmented generation (RAG), and architect the agentic layer above them: tool and function calling, MCP-based tooling, and agent runtimes, deciding what belongs in the platform versus in the applications built on top of it.
Design security into the AI platform rather than leaving it to the applications above it, partnering with our security team on guardrails, prompt-injection and tool-abuse defenses, PII and PHI handling, and hard tenant data boundaries across prompts, retrieval, and tool calls.
Build the evaluation and quality infrastructure that makes AI shippable: offline and online eval harnesses, golden datasets, regression gates in CI, A/B and shadow deployment, and drift and hallucination detection in production.
Establish observability for the AI platform, including monitoring, alerting, logging, and distributed tracing, and set the SLI, SLO, and SLA model for systems whose outputs are probabilistic.
Design for reproducibility and lineage required in a validated pharma environment, with versioned data, code, prompts, and model artifacts, and an audit trail that can withstand customer and regulatory scrutiny.
Contribute to the infrastructure-as-code and deployment automation for the AI platform (CloudFormation, AWS CDK), partnering with the team that owns production deployments to support multi-tenant infrastructure, online upgrades, and on-demand compute allocation.
Own production readiness for the AI platform with Applied AI engineers, data engineers, and platform teams: the performance, reliability, and cost-efficiency of models in production, plus incident response and runbooks.
Act as SME and design authority across product and engineering. Lead design reviews, write the reference architectures and technical documentation others follow, and mentor senior and mid-level engineers on distributed systems and AI engineering practice.
Set technical direction on emerging AI infrastructure: evaluate new frameworks, serving runtimes, model providers, and data types, and make clear build-versus-buy decisions grounded in cost, risk, and scalability.
10+ years of professional experience in software engineering and infrastructure engineering, with a proven track record of designing, building, and scaling distributed, cloud-native systems in production.
Demonstrated experience as a technical leader or architect, accountable for the key decisions on system design, scalability, performance, and cost optimization.
Experience designing security into a multi-tenant platform, including authorization boundaries between tenants and handling of sensitive data such as PII and PHI, with awareness of LLM-specific risks like prompt injection and tool abuse.
Extensive experience building and maintaining AI/ML infrastructure in production, including model deployment and lifecycle management, delivered as a multi-tenant product with external users rather than internal tooling for a single team. Candidates whose experience is limited to building pipelines for their own team will not be a fit.
Deep, hands-on experience taking LLM-based systems to production, including RAG architecture, retrieval and embedding design, prompt and model versioning, and tool or function calling. Not just prototyping with an SDK. We are looking for someone who has operated these systems under real traffic, real latency budgets, and real failure modes.
Expert-level coding skills in TypeScript and Python building robust APIs and backend services, with the judgment to critically evaluate AI-generated code for correctness, security, and architectural fit.
Production-level experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows.
Experience treating AI evaluation as a release gate rather than post-hoc reporting, including eval harnesses, regression gates, and drift or quality monitoring for non-deterministic systems.
Proficiency in API-first design, including REST and OpenAPI specifications, designing APIs that are scalable, secure, versioned, and extensible.
Solid working knowledge of AWS and containerized workloads (e.g., Docker), and familiarity with infrastructure-as-code such as CloudFormation or CDK, with the ability to contribute to CI/CD pipelines and deployment automation.
Experience defining observability and SLI/SLO/SLA practice for production systems, including monitoring, alerting, and distributed tracing.
Ability to articulate ideas clearly to customers and cross-functional teams, influence technical direction on teams you do not manage, and mentor other engineers.

Nice to Have

Familiarity with emerging LLM frameworks for advanced prompt orchestration and programmatic LLM pipelines.
Experience running agentic or multi-step orchestration in production, and with MCP as an integration surface for tooling and non-human identities.
Understanding of LLM cost monitoring, latency optimization, and usage analytics in production environments, including per-tenant cost attribution for tokens, GPU, and inference.
Experience with multimodal model inputs, including image and instrument data, and the throughput and cost implications of serving them at scale.
Experience with fine-tuning, distillation, or model optimization such as quantization, batching, or KV-cache strategy, to improve latency and cost.
Experience delivering ML or AI systems in a regulated or validated environment (GxP, 21 CFR Part 11, SOC 2), including computer system validation and audit readiness.
Background in scientific, life sciences, or laboratory data domains.
100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Flexible working arrangements - Remote work
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching
The salary range for this position is $200K-$270K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.

We are not currently providing visa sponsorship for this position.

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More about this job

Skills

ML
Regulatory compliance
Data engineering
Databricks
Mlflow
AWS
Infrastructure as code
Incident response
Documentation
TypeScript
Python
Reporting
Docker
CI/CD
Cost management

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