AI Model Serving Specialist Job at Rackspace

AI Conversation Design Specialist

This role is focused on creating a Conversational AI-driven self-service experie...

Location

Munich; Berlin; Dublin

Salary:

Not provided

Personio SE & Co. KG

Expiration Date

Until further notice

Requirements

4–6 years of experience delivering AI Agents or chatbots (voice, chat, email, and messaging) preferably in SaaS, technology, or customer experience
German fluency highly preferred
Hands-on experience with chatbots / AI copilots such as Intercom Fin, Decagon, MavenAGI, Ada, Forethought or equivalent
Familiarity with APIs, comfortable occasionally writing snippets of code to bring in data from other systems into Intercom Fin
Strong understanding of AI/ML concepts, natural language processing, and customer support technologies (e.g., chatbots, virtual assistants)
Experience working with data analytics tools and interpreting model performance metrics
Demonstrated ability to translate business needs and customer pain points into technical requirements for AI solutions
Experience collaborating with Product, Engineering, Data, Systems, Customer Support, and Professional Services teams
Knowledge of customer experience metrics (CSAT, NPS, etc.) and best practices in B2B SaaS
Strong project management skills, including Agile or similar methodologies

Job Responsibility

Self-Service and Productivity Outcomes: Drive contact volume reduction and self-service by implementing solutions for top contact drivers, as well as driving Support Agent productivity and handling time through improvements to co-pilots
AI Conversation Automation: Develop AI automated workflows / agent operating procedures, run batch tests, configure personalized answers, and reverse engineer unresolved conversations
Conversation Design: Architect natural, useful interactions between customers and AI chatbots. Design the flow and logic of conversations for the chatbots, partnering with subject-matter experts. You tune and design bot conversations —flows, intents/tagging, prompts/responses, fallback logic— to cut hallucinations, misroutes, and unnecessary handoffs
AI Service Journey Design: Define and govern AI↔human and AI↔AI handoffs (confidence thresholds, triggers, routing rules), ensuring brand voice, privacy, and responsible-AI standards, building a deep knowledge of our customer journeys and user stories to anticipate and design for different scenarios
Data Integration: bring data from 3rd party systems and our own product into Intercom Fin to improve AI conversation effectiveness
Performance Monitoring and Improvement: Track key metrics (e.g., self-serve resolutions, monthly active users, deflection rates, resolution time, customer experience score, NPS) to evaluate AI impact, identify gaps, and implement improvements
AI Solution Delivery: Lead the implementation of AI-powered tools (e.g., chatbots, copilots, virtual assistants) that address common customer pain points and streamline support and professional services processes, and partner with Engineering and Systems on integrations and fixes
Cross-Functional Collaboration: Work closely with Product, Engineering, Customer Experience, Data and Systems teams to ensure AI solutions are aligned with customer needs and business objectives, and that we integrate seamlessly with the Personio Assistant and internal support tooling
Continuous Quality Improvement: Oversee the ongoing quality fine-tuning of AI tools using real customer data and feedback to improve routing, accuracy, relevance, and customer satisfaction. You approach with a product mindset, anticipating edge cases and interaction effects, and regression test as new changes are introduced. You monitor bot/service health, triage incidents and misroutes, and coordinate rapid fixes and postmortems as needed
Change Management: Champion the adoption of AI tools within customer-facing teams, supporting the development of training materials and enablement sessions dedicated to developing AI proficiency within CX

What we offer

Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years
Make an impact on the environment and society with 1 (fully paid) Impact Day
Receive generous family leave, child support, mental health support, and sabbatical opportunities
We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch
20 Flex Days per year to work remotely from other locations

Fulltime

Senior AI Presales Consultant

We are seeking a high-impact, strategic AI Presales Consultant to join our elite...

Location

India , Mumbai

Salary:

Not provided

Eviden

Expiration Date

Until further notice

Requirements

7+ years in a customer-facing technical role (e.g., Presales, Solutions Architecture, AI Specialist, or Technical Consulting), with a proven track record of designing large-scale AI, ML, or HPC solutions
Deep, hands-on understanding of LLM architectures. Must be able to architect, explain, and build PoCs for RAG pipelines, including vector databases (e.g., Milvus, Pinecone, Chroma), embedding models, and data ingestion strategies
Direct experience in sizing AI infrastructure. Must be able to perform "napkin math" and detailed calculations for GPU, CPU, memory, and network requirements
Must be able to fluently discuss performance metrics (tokens/second, latency, throughput, TFLOPS) and their relationship to hardware choice (e.g., NVIDIA H100 vs. A100, memory bandwidth, interconnects like NVLink/InfiniBand)
Expertise in the AI software stack. Strong understanding of MLOps principles (Kubeflow, MLflow), Kubernetes (K8s) for AI workloads, and model serving platforms (NVIDIA Triton, KServe, or similar)
Strong, current knowledge of the AI model landscape (e.g., Llama family, Mistral, GPT-family, foundation models). Ability to discuss fine-tuning techniques, quantization, and pruning
Exceptional communication, whiteboarding, and presentation skills. Ability to translate executive-level business needs into detailed technical architecture and build a compelling C-level value proposition
Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related engineering field

Job Responsibility

Strategic Client Advisory: Lead executive-level "Art of the Possible" workshops and technical discovery sessions to understand a client's business goals, data readiness, and AI maturity
Full-Stack Solution Architecture: Design holistic, end-to-end AI solutions that synergize our supercomputing hardware, AI software platform, and MLOps capabilities to meet specific client needs
Generative AI & LLM Expertise: Act as the subject matter expert on Generative AI. Architect and evangelize scalable data ingestion and preparation pipelines, specializing in Retrieval-Augmented Generation (RAG) frameworks
Infrastructure Sizing & Performance Modelling: Analyse customer workloads (data volume, model complexity, training frequency, inference throughput) to accurately size the required platform infrastructure, including Kubernetes clusters, data storage, and software licenses. This includes calculating compute, storage, and network requirements based on key performance metrics like model parameters, token performance (tokens/sec), desired latency, and concurrent user load
Model & Software Consultation: Advise clients on AI model selection, comparing the trade-offs of open-source vs. proprietary LLMs, fine-tuning vs. foundation models, and model quantization
Position and demonstrate our proprietary AI software platform, MLOps tools, and libraries, integrating them into the client's ecosystem
Inference Optimization: Design and architect robust, low-latency, and high-throughput inference solutions for complex AI models, including large-scale LLM serving
User Experience (UX) Advocacy: Collaborate with client teams to define the end-user experience, ensuring the solution delivers tangible business value and a seamless interface for data scientists, analysts, and application users
Sales Cycle Enablement: Own the technical narrative throughout the sales cycle. Build and deliver compelling presentations, custom demonstrations, and Proofs of Concept (PoCs). Lead the technical response to complex RFIs/RFPs

Fulltime

People Systems Engineer, Airtable Specialist

The Airtable People team is seeking a People Systems Engineer (Airtable Speciali...

Location

United States , San Francisco

Salary:

179000.00 - 232300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

5+ years in systems engineering, internal tools development, or technical operations
Experience leveraging AI to enhance systems and workflows
Proven experience building advanced Airtable solutions using interfaces, automations, and scripting
Skilled in scripting (JavaScript or Python) and integrating SaaS tools via APIs
Pragmatic problem solver who evaluates the right system or tool for the job
Familiarity with HR or People systems (e.g., Workday, Greenhouse, Slack, Google Workspace) preferred
Strong data modeling and systems design abilities
Excellent communication and documentation skills
A proactive, collaborative self-starter who thrives in fast-paced environments

Job Responsibility

Build, enhance, and maintain core People Airtable apps that support all aspects of the employee lifecycle
Design and architect new Airtable applications with AI and automation at the core
Use Airtable Interfaces, Automations, and Scripting to create clean, efficient, and data-rich user experiences
Develop and maintain automations, integrations, and data flows between Airtable and tools like Greenhouse, Workday, Slack, and Google Workspace
Evaluate and recommend alternative systems or tools when they better serve People team goals
Use scripting (JavaScript or Python) and APIs to connect systems and optimize recurring processes
Continuously monitor system performance, usability, and data accuracy
Partner with IT and cross-functional teams to align on architecture, data governance, and long-term tooling roadmap
Document technical logic and train stakeholders to use and maintain Airtable applications effectively

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Systems Integration Specialist Advisor

The Systems Integration Specialist Advisor will lead the design, implementation,...

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7-12+ years of experience in enterprise architecture, cloud engineering, or platform leadership
5+ years designing and deploying AI/ML or GenAI solutions in production
Strong expertise in Python, AI frameworks (TensorFlow, PyTorch, LangChain, etc.)
Deep understanding of LLM architecture, RAG systems, and agentic frameworks
Hands-on experience with Kubernetes, Docker, CI/CD pipelines
Strong cloud architecture experience (AWS/Azure/GCP certifications preferred)
Experience implementing DevSecOps practices
Strong knowledge of enterprise security frameworks and cloud security controls
Experience designing high-availability distributed systems

Job Responsibility

Design and architect enterprise AI/ML and GenAI platforms (LLMs, RAG, agentic AI, AIOps, automation)
Define scalable AI reference architectures aligned with business objectives
Lead end-to-end AI lifecycle management: model development, validation, deployment, monitoring, and governance
Establish standards for AI explainability, observability, and ethical AI practices
Architect AI solutions across AWS, Azure, or GCP environments
Design scalable data pipelines, model serving infrastructure, and distributed systems
Implement containerization (Docker) and orchestration (Kubernetes)
Build high-availability, resilient AI platforms with performance optimization
Establish CI/CD pipelines for AI/ML workloads
Implement Infrastructure as Code (Terraform, ARM, CloudFormation)

File Clerk - AI Trainer

Join our team as a File Clerk - AI trainer and play a pivotal role in shaping th...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Proven experience as a file clerk, records specialist, or in a related role involving document organization and information management
Strong understanding of alphabetical, numerical, and custom filing systems
Exceptional written and verbal communication skills, with meticulous attention to detail
Demonstrated ability to structure, categorize, and streamline large datasets and records
Comfortable working in remote, cross-functional environments and collaborating via digital platforms
Motivated to help train and improve AI systems with your subject matter expertise
Proficient in using office software and file management tools

Job Responsibility

Serve as a subject matter expert in file management and archival best practices for AI model development
Annotate, review, and structure data sets to train AI systems in categorizing and organizing documents based on alphabetical, numerical, or custom filing systems
Provide detailed feedback on AI model performance and suggest improvements for enhanced accuracy
Simulate real-world filing scenarios and guide AI models in handling edge cases and exceptions
Collaborate with AI engineers and data scientists to refine data labeling protocols and taxonomy
Document processes and maintain clear, comprehensive communication throughout project cycles
Stay current on trends in digital file management and contribute insights to advance AI capabilities

Fulltime

Senior AI Engineer

Elsewhen, a London-based consultancy, designs and builds technology solutions fo...

Location

United Kingdom , London

Salary:

Not provided

Elsewhen

Expiration Date

Until further notice

Requirements

Professional AI engineering experience
Background in Software Engineering with Python
Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
Hands-on experience building solutions using LLMs and Agentic architectures with ADK, LlamaIndex, or LangGraph
Working with vector databases for embedding and indexing
Strong experience with cloud platforms
Strong experience with API design and frameworks like FastAPI or Flask
Solid experience with relational databases and SQL
Interest in expanding your knowledge into GenAI and machine learning
Excellent communication skills and the ability to work well in a collaborative team environment

Job Responsibility

Experiment with POCs to find solutions for real-world problems using Large Language Models
Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
Build and deploy Agentic LLM-based solutions with LangGraph
Familiar with different multi agent system patterns
Build and deploy LLM-based solutions using RAG
Familiar with different types of databases: Relational, Graph etc
Design and optimise APIs using Python and FastAPI to serve AI solutions
Familiar with GCP ecosystem and Cloudrun
Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models

What we offer

Private Health Insurance: Comprehensive coverage for both physical and mental health
Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
Generous Leave Policy: 27 days of holiday plus bank holidays
Family-friendly policies, including enhanced maternity, paternity and shared
Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
Feel Better Fund: £500 to help set up your remote office
Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
Gym Membership Contribution: Support for maintaining your physical health
Pension Contribution: Enhanced employer pension contribution of 6%
Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements

Fulltime

Cloud Solution Architect - Copilot

Leverage your architectural and engineering expertise to help customers unlock t...

Location

India , Gurgaon

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

5-15 years of Experience
Deep understanding of Copilot architecture, service boundaries, and supported workloads
Scenario design across Teams, Outlook, Word, Excel, PowerPoint, OneDrive, SharePoint
Knowledge of Copilot readiness requirements (licensing, identity, data, tenant configuration)
Microsoft Teams (meetings, chat, channels, apps, extensibility concepts)
SharePoint Online & OneDrive (content lifecycle, permissions, information architecture)
Exchange Online (mailbox architecture, calendar, compliance considerations)
Viva (especially Viva Topics, Insights, Engage – awareness level)
Microsoft Entra ID (Azure AD) fundamentals
Authentication models, Conditional Access, role‑based access control (RBAC)

Job Responsibility

Lead end‑to‑end solution architecture for Microsoft 365 Copilot scenarios across collaboration, content, meetings, and workflow intelligence
Translate business priorities into scalable Copilot architectures aligned with Microsoft 365 services (Teams, Outlook, SharePoint, OneDrive, Viva)
Drive technical design reviews, reference architectures, and deployment readiness for Copilot and related AI services
Partner with account teams to unblock complex architectural challenges and accelerate time‑to‑value
Ensure architectural decisions align with customer environments, identity models, and information architecture
Enable customers to reimagine collaboration and productivity using Copilot across everyday work scenarios
Guide adoption of Copilot‑powered experiences for knowledge workers, leaders, and frontline roles
Align Copilot usage to role‑based productivity patterns and modern work transformation goals
Support change management motions by mapping Copilot value to user journeys and work rhythms
Act as a productivity transformation advisor—not just a tool expert

Fulltime

Vice President, AI Enablement

The Vice President, AI Enablement leads Parexel’s enterprise‑wide Artificial Int...

Location

United States , Remote

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

15+ years in data science, AI/ML, or technology leadership roles
at least 7 years in executive or senior leadership
Deep knowledge of clinical research processes, clinical data lifecycle, and pharmaceutical/life sciences regulatory expectations
Experience implementing enterprise AI platforms (GenAI, MLOps, data pipelines, automation)
Proven success operationalizing large-scale AI programs in GxP or other highly regulated industries
Familiarity with emerging AI regulations (EU AI Act, FDA, EMA expectations)
Experience with cloud-based AI ecosystems (Azure preferred)
Master’s degree or PhD in Computer Science, Data Science, Engineering, Bioinformatics, or related field preferred
Advanced business qualifications (MBA or equivalent) desirable
Excellent written and verbal communication skills

Job Responsibility

Define and evolve Parexel’s enterprise AI strategy, roadmap, and investment portfolio
Identify priority use cases aligned to business value, feasibility, and regulatory constraints
Conduct AI maturity assessments and establish long‑term capability-building plans
Co-chair AI governance
Define standards for model lifecycle management, validation, auditability, and transparency
Ensure compliance with GxP, global regulatory guidance, and responsible AI principles
Partner with Quality, Legal, and Compliance to operationalize risk management for AI systems
Oversee enterprise AI platforms, tooling, and data pipelines
Drive scalable architecture for GenAI, ML operations, retrieval‑augmented generation, and secure model hosting
Evaluate and integrate vendor platforms while ensuring data privacy and clinical-grade security

What we offer

Health, Vision & Dental Insurance
Tuition Reimbursement
Vacation/Holiday/Sick Time
Flexible Spending & Health Savings Accounts
Work/Life Balance
401(k) with Company match
Pet Insurance
Opportunity to work on innovative projects at the forefront of the industry
Collaborative and inclusive work environment that values your expertise
Professional advancement and development opportunities

Fulltime

Select Country

AI Model Serving Specialist

Rackspace

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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

Similar Jobs for AI Model Serving Specialist

AI Conversation Design Specialist

Senior AI Presales Consultant

People Systems Engineer, Airtable Specialist

Systems Integration Specialist Advisor

File Clerk - AI Trainer

Senior AI Engineer

Cloud Solution Architect - Copilot

Vice President, AI Enablement

Our AI answers in your language

AI Model Serving Specialist

Rackspace

Location:United States

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 04, 2026

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

Similar Jobs for AI Model Serving Specialist

AI Conversation Design Specialist

Senior AI Presales Consultant

People Systems Engineer, Airtable Specialist

Systems Integration Specialist Advisor

File Clerk - AI Trainer

Senior AI Engineer

Cloud Solution Architect - Copilot

Vice President, AI Enablement

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
January 04, 2026