CrawlJobs Logo

AI Applications Ops Lead

scale.com Logo

Scale

Location Icon

Location:
Qatar; United Kingdom , Doha

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens; Generating high-quality training data for national LLMs; Upskilling and advisory services to spread the impact of AI. As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

Job Responsibility:

  • Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies
  • Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment
  • Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability
  • Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks
  • Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again
  • Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials
  • Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases

Requirements:

  • 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector
  • Familiarity with international government security standards and the complexities of deploying sovereign AI
  • Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core
  • Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools
  • Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them
  • Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy
  • Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it

Additional Information:

Job Posted:
February 20, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for AI Applications Ops Lead

AI/ML Technical Lead

We build breakthrough software products that power digital businesses. We are an...
Location
Location
India , Noida
Salary
Salary:
Not provided
3pillarglobal.com Logo
3Pillar Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in AI/ML development, including leading technical teams
  • Strong expertise in agentic AI concepts, multi-agent orchestration, and autonomous tool-using AI systems
  • Hands-on experience with LangChain (chains, agents, custom tools, memory, LLM orchestration)
  • Experience in Agentic AI
  • Experience in Computer Vision
  • Proficiency with modern LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and fine-tuning methods
  • Deep knowledge of Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
  • Experience building and deploying RAG systems using vector databases (Pinecone, Chroma, Weaviate, etc.)
  • Strong understanding of ML Ops, CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure)
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of advanced AI/ML solutions, including LLM-powered applications
  • Architect and implement agentic AI workflows, multi-agent systems, and autonomous reasoning pipelines
  • Build scalable applications using LangChain, retrieval-augmented generation (RAG), vector databases, and tool integrations
  • Mentor and lead a team of ML engineers, data scientists, and AI developers
  • Collaborate with cross-functional teams (Product, Engineering, Data) to define AI strategies and roadmaps
  • Optimize model performance, latency, reliability, and cost efficiency
  • Evaluate new AI frameworks, libraries, and models for integration into the stack
  • Ensure best practices for code quality, ML Ops, versioning, testing, and monitoring
  • Fulltime
Read More
Arrow Right
New

Product Manager of AI Applications, International Public Sector

Scale is growing rapidly, and joining the International Public Sector team is an...
Location
Location
Saudi Arabia , Riyadh
Salary
Salary:
Not provided
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
  • Strong technical background (STEM degree) and/or experience building technical software products
  • Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
  • Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
  • Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
Job Responsibility
Job Responsibility
  • Lead design workshops with the client to define custom AI solutions
  • Scope out new AI application use cases across various government entities
  • Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
  • Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
  • Stay up to date with latest research in applied AI and training custom LLMs
  • Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
  • Give regular progress updates to the client and International Public Sector leadership
Read More
Arrow Right
New

Product Manager of AI Applications, International Public Sector

Scale is growing rapidly, and joining the International Public Sector team is an...
Location
Location
Salary
Salary:
Not provided
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
  • Strong technical background (STEM degree) and/or experience building technical software products
  • Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
  • Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
  • Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
Job Responsibility
Job Responsibility
  • Lead design workshops with the client to define custom AI solutions
  • Scope out new AI application use cases across various government entities
  • Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
  • Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
  • Stay up to date with latest research in applied AI and training custom LLMs
  • Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
  • Give regular progress updates to the client and International Public Sector leadership
Read More
Arrow Right

Business Systems Architect Principal

The Business Systems Architect Principal is central to BT International’s transf...
Location
Location
Hungary , Budapest
Salary
Salary:
Not provided
plus.net Logo
Plusnet
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strategic Architecture Leadership – Proven ability to define and communicate architectural vision for complex business systems landscapes, with track record driving large-scale transformation programmes in regulated telco environments
  • Business Systems Domain Expertise – Deep understanding of BAU systems (sales, service, enterprise applications) and service operations platforms (service desk, AI Ops, lead-to-cash, billing, inventory) with knowledge of how these capabilities support business operations and cost optimisation
  • Systems Integration – Extensive experience linking together various IT systems, services and software across BAU applications, service operations platforms and NaaS capabilities to enable functional operation and support business processes
  • Vendor and Stakeholder Management – Strong ability to work with SaaS platforms and enterprise vendors as strategic partners, negotiate technical implementations and manage complex stakeholder relationships across business and operational teams
  • Modernisation Patterns – Expert knowledge of incremental modernisation approaches including service operations automation, AI-driven process optimisation and cloud-native patterns that balance operational continuity with transformation
  • Technical Depth – Hands-on background in business systems integration and service operations with coding capability, enabling credibility with engineering teams and active participation in technical spikes when needed
  • Operational Excellence – Understanding of comprehensive observability, service resilience and operational automation approaches including metrics, logging, distributed tracing and telemetry pipelines for business systems
  • NaaS Integration Understanding – Knowledge of how BAU systems integrate with network-as-a-service models, enabling sales and service operations to leverage aaS capabilities whilst maintaining operational stability
  • Leadership and Influence – Ability to lead blended IT teams (support, maintenance, BAU systems, service operations) through transformation, build consensus across organisational boundaries and develop technical leadership capability in operational functions
  • Extensive experience leading IT systems and BSS architecture in telecommunications or complex B2B environments, with demonstrated success modernizing legacy landscapes across multiple system domains
Job Responsibility
Job Responsibility
  • Define and lead the architectural strategy for business systems across BAU applications (sales, service, enterprise) and service operations (AI Ops, Service Desk, L2C including Pricing/Design/Quoting/SRM, billing, inventory), establishing target state architecture that optimises legacy systems whilst designing future-ready capabilities
  • Own the business systems portfolio optimisation roadmap, making strategic keep/modernise/retire decisions for BAU systems and service operations platforms based on technical fitness, cost-effectiveness and alignment with asset-light, NaaS-based operating model
  • Establish systems integration approaches that link together BAU applications, service operations platforms and NaaS capabilities, enabling functional operation across sales, service and enterprise systems whilst supporting business processes
  • Lead vendor strategy for business systems platforms including SaaS applications, enterprise systems and service operations tools, negotiating strategic partnerships that simplify IT landscape whilst aligning with aaS business needs and reducing vendor dependencies
  • Champion modern architecture patterns including service operations automation, AI-driven process optimisation, billing automation, inventory accuracy improvement and self-service capabilities that reduce manual propensity and improve cost-to-serve metrics
  • Design for operational excellence by establishing comprehensive observability across business systems including metrics, logging, distributed tracing and telemetry that enable proactive issue detection and support continuous improvement in service delivery
  • Collaborate with Data and AI architects to leverage data platforms and AI capabilities for business intelligence, service automation and customer insights, ensuring business systems generate valuable data and support AI-driven process improvements
  • Drive architectural governance through design reviews and architecture conformance processes, ensuring business systems initiatives align with enterprise standards, security requirements and support transformation to asset-light operating model
  • Build and mentor Business Systems architects who work with BAU operations and service delivery teams, establishing technical leadership capability and fostering architectural thinking across support, maintenance and enterprise systems functions
  • Work with engineering leadership to establish integration patterns that connect business systems with NaaS capabilities, enabling sales and service operations to leverage network-as-a-service whilst maintaining operational stability and cost-effectiveness
What we offer
What we offer
  • Cafeteria package - HUF 600,000/ year
  • Performance-based bonus
  • Comprehensive private health care package for all the employees, which can be extended to family members
  • Nursery support for mothers returning from maternity
  • Extended paternity leave: 10+10 day fully paid days
  • Commuting allowance
  • Home office allowance
  • Employee discount opportunities
  • Highly affordable mobile packages for the family as well
  • New high-class offices both in Budapest and Debrecen
  • Fulltime
Read More
Arrow Right

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...
Location
Location
United States , Pleasanton, California
Salary
Salary:
251000.00 - 314500.00 USD / Year
blackline.com Logo
BlackLine
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
  • 10+ years in ML infrastructure, DevOps, and software system architecture
  • 4+ years in leading MLOps or AI Ops platforms
  • Strong programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Job Responsibility
Job Responsibility
  • Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
  • Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
  • Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
  • Lead incident response and reliability strategies for ML/AI systems
  • Lead the deployment of AI models and systems in various environments
  • Collaborate with development teams to integrate AI solutions into existing workflows and applications
  • Ensure seamless integration with different platforms and technologies
  • Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
  • Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
  • Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics
What we offer
What we offer
  • short-term and long-term incentive programs
  • robust offering of benefit and wellness plans
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...
Location
Location
United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver
Salary
Salary:
210000.00 - 260000.00 USD / Year
truebill.com Logo
Truebill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of professional experience in machine learning engineering or data science roles
  • Proven track record of designing and implementing ML systems at consumer tech scale and speed
  • Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
  • Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
  • Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
  • Understanding of ML methods at a fundamental level
  • Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
  • Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
  • Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
  • Technical leader who can identify both emergent technical opportunities and gaps relative to best practice
Job Responsibility
Job Responsibility
  • Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
  • Design, implement, and maintain robust evaluation frameworks
  • Develop novel new product experiences
  • Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
  • Provide technical mentorship
What we offer
What we offer
  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)
  • Bonus
  • Fulltime
Read More
Arrow Right

Marketing Ops AI Manager

The Marketing Operations AI Manager is responsible for designing, implementing, ...
Location
Location
United States
Salary
Salary:
Not provided
cyera.io Logo
Cyera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4–7 years of experience in Marketing Operations, RevOps, Marketing Technology, or related roles
  • Strong understanding of MAP/CRM systems (e.g., Marketo, HubSpot, Salesforce)
  • Hands-on experience with automation, workflow design, and data management
  • Familiarity with AI tools and concepts such as generative AI, predictive modeling, LLM-based automation, and machine learning fundamentals
  • Proficiency with BI/reporting tools (Tableau, Looker, Power BI) and basic SQL a plus
  • Exceptional analytical, problem-solving, and project management skills
  • Ability to translate technical concepts for non-technical stakeholders
Job Responsibility
Job Responsibility
  • Develop and own the AI strategy for marketing operations, aligning technology investments with business goals
  • Identify high-impact opportunities where AI can optimize workflows, personalization, segmentation, lead management, and reporting
  • Evaluate, implement, and manage AI tools and platforms used across the marketing tech stack
  • Build and maintain AI-driven workflows and automations within CRM, MAP, and integrated systems
  • Architect and optimize lead lifecycle processes, routing logic, and scoring using predictive and generative AI
  • Streamline campaign operations through automated tagging, data enrichment, and content workflows
  • Partner with RevOps, Sales Ops, and GTM teams to enhance cross-functional processes
  • Ensure data hygiene, standardization, and enrichment to improve AI model performance
  • Maintain governance frameworks for AI usage, including compliance, access control, prompt standards, and model reliability
  • Monitor data pipelines and troubleshoot issues impacting automation or analytics
What we offer
What we offer
  • Ability to work remotely, with office setup reimbursement
  • Competitive salary
  • Unlimited PTO
  • Paid holidays and sick time
  • Health, vision, and dental insurance
  • Life, short and long-term disability insurance
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, AI & ML Ops

Hyundai AutoEver America seeks a seasoned Senior AI/ML Engineer to architect, de...
Location
Location
United States , Irvine
Salary
Salary:
103170.00 - 158873.00 USD / Year
haeaus.com Logo
Hyundai AutoEver America
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field
  • advanced degrees/certifications are a plus
  • 8+ years of software engineering experience, including 3+ years in AI/ML solution development
  • Proven experience designing and deploying LLM-based solutions, traditional ML models, RAG systems, and agent workflows
  • Strong expertise in Python, TensorFlow/PyTorch, Hugging Face, prompt engineering, vector databases, and AI orchestration
  • Hands-on experience with AWS SageMaker/Bedrock, Azure OpenAI, or Azure ML Studio, plus MLOps best practices (CI/CD, testing, model monitoring)
  • Proficiency in frontend frameworks (React), cloud-native deployment (Docker/Kubernetes), microservice APIs, and relational/NoSQL databases
Job Responsibility
Job Responsibility
  • Architect and develop scalable AI/ML and LLM-based systems, including RAG pipelines, agentic workflows, predictive models, and generative AI solutions
  • Build full‑stack AI applications, including React-based dashboards and front‑end interfaces integrated with backend services and cloud infrastructure
  • Develop data pipelines and ML Ops workflows using Python, SQL, AWS/Azure platforms, and monitoring tools to train, deploy, and optimize models
  • Lead cross-functional AI initiatives, deliver PoCs/MVPs, ensure compliance with AI governance, and integrate AI features into enterprise and user-facing systems
  • Provide technical leadership and mentorship, guiding standards, code reviews, model documentation, and best practices in AI/ML development
  • Continuously improve AI performance and reliability through prompt engineering, architecture enhancements, and data optimization
What we offer
What we offer
  • comprehensive medical/dental coverage
  • generous PTO
  • education assistance
  • annual merit increase eligibility
  • Fulltime
Read More
Arrow Right