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Added 1 hour ago
Principal Engineer, Agentic AI
Steer
Remote, United States
…generation of software - and we're looking for a Principal Engineer, Agentic AI to join our Core Platform…
Added 19 hours ago
R
Distinguished AI Engineer
Rapid7
Remote, United States
- $273,900 to $370,500 USD / year
16+ years of software or ML engineering experience, including 2+ years leading the design of production LLM or agentic AI systems. A PhD in Computer Science, Machine Learning, AI or a…
Added 1 day ago
Staff Machine Learning Engineer, Compliance Automation (Platform)
Coinbase
Remote, United States
As a Staff Machine Learning Engineer on the Compliance Automation team within the Platform group, you'll build the AI systems that are reimagining how Coinbase executes compliance…
Added 1 day ago
Full Stack Engineer, Agentic AI
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 Full Stack Engineer, Agentic AI based in United States.
Added 1 day ago
Machine Learning Infrastructure Engineer - LLM & Agentic AI
Stellar Cyber
Remote, United States
We are looking for a highly skilled Machine Learning Infrastructure Engineer with a passion for building robust and scalable systems to power Stellar Cyber’s Autonomous SOC applications. In…
Added 2 days ago
Senior Engineer (Applied AI / ML)
Jobgether
Remote, United States
The Senior Engineer (Applied AI / ML) will combine hands-on AI engineering with technical leadership to transform complex business challenges into practical, production-ready AI solutions.…
Added 2 days ago
J
Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving
Jobgether
Remote, United States
- $890,000 to $1,690,000 USD / year
In this highly strategic engineering role, you will shape the next generation of AI and machine learning model-serving infrastructure at global scale. You will lead the architecture and…
Added 2 days ago
Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving
Netflix, Inc.
Remote, United States
Netflix is on the journey to rebuild the AI/ML model serving platform and infrastructure that turns trained models into served predictions across real-time, async, and agentic workloads, at…
Added 2 days ago
H
Staff Software Engineer, Applied AI
HackerOne
Remote, United States
- $200,000 to $256,000 USD / year
At HackerOne, we’re advancing a new era of AI-powered offensive security. As a Staff AI Engineer, you’ll help shape the evolution of our autonomous HAI platform, driving the integration of…
Added 2 days ago
Agentic AI Architect
Tiger Analytics Inc.
Remote, United States
Tiger Analytics is looking for experienced Agentic AI Architect with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in…
Added 3 days ago
Solution Engineer, Data & AI
Arctiq
Remote, United States
Build, train, and evaluate machine learning and generative AI solutions - from classical ML to LLM-based and agentic applications
Added 3 days ago
Staff, Full Stack Engineer
GlaxoSmithKline LLC
Remote, United States
10+ years of experience in applied machine learning (ML) or data science and full-stack engineering, including experience building and operating user-facing AI products.
Added 3 days ago
Senior, Full Stack Engineer
GlaxoSmithKline LLC
Remote, United States
The Senior Full Stack Engineer leads the design and delivery of a significant AI product area, spanning modelling workflows and user-facing applications. The role sets the team's standards…
Added 3 days ago
Staff Software Engineer, AI Inference
Syllo
Remote, United States
…systems that power model serving. You'll partner closely with machine learning, infrastructure, and product engineering to establish the foundation for how AI models are deployed,…
Added 3 days ago
AI Architect
Emergent Software
Remote, United States
Proven experience designing, deploying, and scaling production AI, machine learning, RAG, or agentic systems.
Added 3 days ago
Forward Deployed Machine Learning Engineer
Raydar
Remote, United States
This is the first Machine Learning Engineer dedicated to the company's Benchmarks and Evaluations vertical. You will partner directly with the general manager, researchers, and early…
Added 4 days ago
BV
Applied AI Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Bright Vision Technologies is seeking a highly experienced Applied AI Engineer with 10+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning to design,…
Added 4 days ago
BV
Autonomous Learning Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Bright Vision Technologies is seeking a highly experienced Autonomous Learning Engineer with 10+ years of experience in Artificial Intelligence, Reinforcement Learning (RL), and Deep…
Added 4 days ago
BV
Conversational AI Engineer
Bright Vision Technologies
Remote, United States
- $130,000 to $180,000 USD / year
Bright Vision Technologies is seeking a highly experienced Conversational AI Engineer with 10+ years of software engineering experience, including extensive expertise in Large Language…
Added 6 days ago
Forward Deployed Engineer
Clera
Remote, United States
- Partner with machine learning and infrastructure teams to deliver deployments that meet customer expectations.
Added 7 days ago
Principal Full Stack Engineer
Steer
Remote, United States
AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to…
Added 7 days ago
Distinguished Engineer, AI Security Systems (Remote)
CrowdStrike, Inc.
Remote, United States
15+ years of industry experience in software engineering, machine learning, or security engineering; 12+ years with a PhD.
Added 7 days ago
Senior AI Machine learning Engineer
Guidewire Software, Inc. (US)
Remote, United States
As a Senior ML Engineer, Generative AI, you will be a technical leader driving the design, development, and operation of Guidewire’s end-to-end GenAI solutions and Large Language Model…
Added 8 days ago
PT
Machine Learning Ops Engineer
PAR Technology
Remote, United States
- $125,000 to $160,000 USD / year
As an ML Ops Engineer at Bridg, you will be the engineering partner to a data science team that has built Bridg’s next-generation identity resolution model. Your focus will be to help take…
Added 8 days ago
Lead Engineer
Raft Company Website
Remote, United States
Experience building AI/ML infrastructure or agentic systems, including orchestration frameworks, tool-use patterns, and LLM integration in production

Arctiq

Solution Engineer, Data & AI

Remote, United States

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Job details

Posting language: English
Posted: Oct 26, 2026

Original job description

Company Overview:

Arctiq is a global, intelligence-driven technology services company delivering professional and managed services across Hybrid Cloud Infrastructure, Networking & Connected Experiences, Cybersecurity, Data & AI, Autonomous Operations & Intelligence, and Enterprise Service Management. We help organizations operate, secure, and modernize complex environments by unifying infrastructure, networking, data, security, automation, and observability under a single, integrated operating model. Our work focuses on helping customers reduce operational friction, improve resilience, and make better, faster decisions as their environments evolve. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.

Position Overview:

The Solution Engineer, Data & AI is a hands-on builder who designs, delivers, and operates production-grade data and AI solutions. You will join a team of engineers who bring real software engineering discipline to data work - version control, automated testing, CI/CD, infrastructure as code, and observability are how we work, not afterthoughts. We also expect our engineers to embrace agentic engineering, using tools like Claude Code to dramatically accelerate how software gets built without compromising quality.

Depending on business need and your strengths, you will be aligned to one of two paths:

Path 1 - Client Delivery: Support delivery of fixed-price, outcome-based data and AI projects for clients across a wide range of industries and problem domains, on Azure, AWS, and GCP. In a fixed-price model, engineering quality and delivering within agreed scope directly affect client outcomes and project margin.

Path 2 - Internal Data & Analytics: Bring order to our internal data on Azure Databricks - integrating, cleaning, and modelling data from our business systems so the organization has trusted analytics and reporting and helping automate core business processes such as quote-to-cash.

Both paths share the same technical foundation, and engineers may move between paths over time as priorities and interests evolve.

Responsibilities:

Data Pipeline Engineering

• Design, build, and maintain reliable, scalable data pipelines for batch and streaming workloads

• Apply proven lakehouse architecture patterns, with clear data contracts and well-managed schema evolution

• Build data quality checks, testing, and monitoring into every pipeline from day one

Data Modelling & Analysis

• Design analytical data models that reflect business requirements and perform at scale

• Profile, explore, and analyze data to validate assumptions, surface quality issues, and share meaningful insights with stakeholders

• Apply sound data governance practices so data assets are secure, traceable, and discoverable

AI & Machine Learning Engineering

• Build, train, and evaluate machine learning and generative AI solutions - from classical ML to LLM-based and agentic applications

• Establish rigorous evaluation approaches tied to clear, business-aligned success criteria

• Take models from experimentation to production, ensuring they are reliable, observable, and maintainable

MLOps & DevOps

• Build and maintain CI/CD pipelines for code, data, and models

• Manage cloud and platform resources through infrastructure as code

• Implement full model lifecycle management - versioning, deployment, monitoring, drift detection, and retraining

• Champion engineering best practices across the team: code reviews, branching strategies, automated testing, and documentation

Agentic Engineering

• Use agentic coding tools (e.g., Claude Code) as a core part of your daily workflow to accelerate design, development, testing, documentation, and refactoring

• Provide AI agents with effective context through clear specifications, project instructions, and reusable workflows

• Apply rigorous review, testing, and validation to AI-generated code - you own the quality of what ships, regardless of who or what wrote it

• Share effective agentic workflows with the team and help codify them into repeatable practices and accelerators

Path 1 - Client Delivery

• Deliver engineering workstreams on fixed-price client engagements, from technical discovery through outcome acceptance

• Work across client environments on Azure, AWS, and GCP, adapting patterns to each client’s cloud, security model, and constraints

• Partner with Architects and your Engineering Manager to deliver solutions within agreed scope, timeline, and commercial constraints

• Participate in client workshops, demos, and technical working sessions, building credibility with client technical teams

• Identify scope creep, technical risks, and blockers early - and raise them promptly and constructively

• Leave clients better off: document solutions clearly, transfer knowledge, and help build client-side capability

• Contribute to reusable accelerators, templates, and patterns that make future engagements more predictable

Path 2 - Internal Data & Analytics

• Integrate data from our core business systems (e.g., CRM, PSA, finance/ERP, HR) into our Azure Databricks environment

• Clean, reconcile, and standardize messy internal data - resolving duplicates, aligning definitions across systems, and establishing a single source of truth for key entities such as customers, projects, contracts, and revenue

• Coordinate with internal teams to identify, prioritize, and resolve data quality issues at the source, and put processes in place to prevent them from recurring

• Build trusted, well-documented data models that power internal analytics, KPIs, and executive and operational reporting

• Partner with Finance, Sales, Operations, and leadership to understand reporting needs and translate them into reliable data products

• Help design and automate quote-to-cash workflows, connecting data and handoffs from opportunity through quote, contract, delivery, invoicing, and collections

Qualifications:

• 4+ years in software and platform engineering, including meaningful time on a collaborative software development team

• Hands-on experience building production data and ML solutions in the cloud

• Strong, demonstrable experience with the Databricks platform in production environments

• Practical experience using agentic coding tools to accelerate software development - with examples of how it has changed the way you work

Technical Skills

Software Engineering & DevOps

• Strong proficiency in Python and SQL

• Solid software engineering fundamentals: Git workflows, code review, unit and integration testing, modular design

• Hands-on experience with CI/CD tooling and infrastructure as code

• Comfortable with containerization, environment management, and automated deployment

Cloud Platforms

• Working knowledge of all three major clouds - Azure, AWS, and GCP - with deep hands-on experience in at least one

• Understanding of how data platforms are deployed and integrated on each cloud, including storage, identity, networking, and security

• Familiarity with each cloud’s native data and AI services and when to use them alongside Databricks

Databricks

• Deep, hands-on experience across the Databricks platform, including data engineering, governance, and ML/AI capabilities

• Experience deploying and managing Databricks solutions using software engineering and DevOps best practices

Data Engineering & Modelling

• Proven ability to design and build scalable batch and streaming pipelines

• Strong data modelling skills across dimensional and modern lakehouse patterns

• Experience with data quality frameworks, testing, and observability

AI / ML & MLOps

• Practical experience building, evaluating, and deploying ML models to production

• Experience with generative AI patterns such as retrieval-augmented generation, agents, and LLM evaluation

• Strong MLOps practices across the full model lifecycle

Agentic Engineering

• Hands-on proficiency with agentic development tools such as Claude Code

• Ability to decompose work, write clear specifications, and manage context so agents produce high-quality results

• Sound judgment on where AI-assisted development adds leverage and where it introduces risk, with a disciplined approach to reviewing and testing its output

Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.

We thank you for your interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.

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