AI Systems & Governance – Specialist Job at HiRemoters

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

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

New

Data Scientist – Applied AI & Agent Systems Specialist

✨ About This Role: Design, build, and deploy AI-powered agents and automation sy...

Location

Salary:

Not provided

HiRemoters

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Business Administration, Operations Management, Public Policy, International Development, or a related field
Strong proficiency in Python (production-level coding skills)
Minimum 5 years experience in applied AI, machine learning engineering, or AI-driven software development
Experience working with LLM APIs (OpenAI, Azure OpenAI, or equivalent)
Understanding of agentic architectures (tool use, memory, multi-step orchestration)
Experience with API integration and RESTful services
Familiarity with vector databases and embedding workflows
Knowledge of software version control (Git)
Experience with workflow automation/orchestration tools (n8n, LangChain, or equivalent frameworks)
Understanding of testing, logging, monitoring, and production deployment principles

Job Responsibility

Design, build, and deploy AI-powered agents and automation systems that enhance the operational intelligence, decision-making, and workflow efficiency
Act as the primary Applied AI Engineer within the Smart Systems & Operational Enablement department, translating business challenges into production-ready AI and agentic solutions
Develop software-driven AI capabilities that integrate securely and reliably into enterprise systems
Design and build AI agents using LLM APIs (e.g., Azure OpenAI, OpenAI or equivalent)
Develop multi-step orchestration workflows integrating AI models with internal systems and APIs
Implement agent memory systems (vector databases, embeddings, contextual retrieval)
Build and maintain AI-enabled automation using tools such as Python frameworks, n8n, or equivalent orchestration platforms
Develop evaluation frameworks to measure agent performance, accuracy, reliability, and drift
Deploy AI solutions in production environments following enterprise architecture standards
Collaborate with Systems Integration to embed agents within CRM/ERP and operational workflows

What we offer

Flexible and Remote Working
Career Growth
Performance Recognition
Health and Fitness Benefits
Extra Paid Annual Leave
Special Birthday Perk

Fulltime

Military Writing Specialist

As a Military Writing Specialist or Expert, you will be responsible for producin...

Location

United States , St. Louis

Salary:

Not provided

Chameleon Integrated Services

Expiration Date

Until further notice

Requirements

5 years’ minimum experience in military occupation specialties related to planning, logistics, or intelligence
Experience writing professionally using military and formal Department of Defense writing styles

Job Responsibility

Train AI models by crafting and answering questions related to intelligence, operations, logistics, or other similar military disciplines and domains
Leverage your domain expertise to evaluate and critique corpuses of text produced and written by AI systems
Attend regular training sessions for upskilling and quality alignment on writing projects
Integrate feedback from expert instructors into your written work

What we offer

Competitive Employee Health Insurance options including dental
100% company paid vision plan
401K plan with generous company match and no vesting period
100% company paid Life insurance
100% company paid long and short-term disability insurance
Training allowance
PTO and more

Fulltime

AI Architect

Help us deliver like never before. We’re hiring an AI Architect to join our AI A...

Location

Australia , Richmond

Salary:

Not provided

Australia Post

Expiration Date

Until further notice

Requirements

Experience operating in a large, complex enterprise architecture environment
Experience aligning AI solutions to enterprise standards and governance
Strong advisory and consulting capability across AI platforms and solution design for Generative AI and agentic AI systems
Proven ability to lead end‑to‑end architecture for scalable, secure and compliant production deployments
Ability to evaluate and recommend embedded and integrated AI capabilities across the enterprise stack
Experience working hands‑on or in an advisory capacity with platforms such as Vertex AI and Gemini Enterprise
Experience with enterprise ecosystems including Salesforce, SAP and Adobe
Ability to define AI technology strategy and multi‑year roadmaps aligned to business outcomes
Experience partnering closely with business, platform, security and engineering teams
Experience with AI in specific domains such as natural language processing (NLP), computer vision, or reinforcement learning

Job Responsibility

Design and implement AI architectures that are scalable, secure, and aligned with Australia Post’s technology stack and Enterprise Data & AI Reference Architecture
Collaborate with the Principal AI Architect to translate business requirements into technical specifications and actionable plans
Prepare solution designs for AI initiatives and present them to relevant architecture forums for review and endorsement
Ensure all AI architecture designs adhere to AI Governance policies and standards to ensure responsible and ethical use of AI
Collaborate with cross-functional teams, including data scientists, software engineers, and IT specialists, to deliver AI projects on time and within scope
Document AI architectures, processes, and methodologies to ensure clear communication and knowledge sharing across teams
Provide regular updates and reports on project progress, risks, and outcomes to the Principal AI Architect and other stakeholders

Fulltime

New

Senior Manager – Knowledge Management

Knowledge is one of our most powerful assets, but only when it is structured, go...

Location

United Kingdom , Crawley

Salary:

Not provided

Virgin Atlantic

Expiration Date

March 23, 2026

Requirements

Proven experience designing and implementing enterprise metadata models, ontologies, taxonomies or structured knowledge architectures
Hands-on experience building, improving or overseeing ingestion, transformation, enrichment, indexing or retrieval pipelines within modern data platforms
Strong experience across structured and unstructured data, and how they are connected to support enterprise use cases
Experience with graph databases, knowledge graph technologies, vector stores or AI-enabled retrieval systems
Strong understanding of how structured data and knowledge models support AI use cases such as enterprise search, RAG, copilots and agentic workflows
Experience defining and embedding governance frameworks covering data quality, lifecycle, lineage, provenance, versioning and ownership
Experience operating in complex, regulated or risk-sensitive environments where control, auditability and assurance are critical
A background in data engineering, data management, information architecture or a related field, with progression into AI-enabled data and knowledge design
Experience leading specialist technical teams and influencing across a matrix organisation

Job Responsibility

Define and implement enterprise knowledge engineering and governance standards aligned to the Data & AI strategy
Design and evolve ontologies, metadata schemas and structured knowledge models
Oversee the development and optimisation of the Enterprise Knowledge Graph and associated data stores
Partner with Data Engineering and AI teams to design ingestion, transformation, enrichment and retrieval pipelines
Improve retrieval, grounding and context pipelines for AI systems, including vector-based retrieval
Establish lifecycle, lineage, ownership and quality controls across knowledge platforms
Identify gaps in the current technology stack and define the target-state architecture
Influence senior stakeholders to adopt consistent ownership, governance and data design principles
Lead and develop a specialist team spanning Data, Governance and AI

Fulltime

!

New

Specialist, Data and AI - AI Platforms

The Specialist, Data & Analytics – AI Platforms acts as a technical steward with...

Location

Canada , Toronto

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields
5+ years of IT experience in large enterprise environments
Experience with technologies supporting AI/ML environments, including: Azure DevOps & GitHub, Azure Kubernetes Service, Databricks, Azure Machine Learning, Azure AI Foundry, Azure Data Factory, Azure Function Apps, Azure Storage Accounts, Key Vault, SQL Server Databases, Service Bus
Excellent communication skills (written and verbal)
Strong problem solving and analytical abilities
Proven capability to work effectively in team driven, collaborative environments
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Job Responsibility

Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture
Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems
Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes
Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards
Manage compute, storage, networking, and other Azure resources needed for AI platforms
Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation
Support infrastructure as code processes using approved templates and CI/CD pipelines
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards
Support model packaging, deployment, versioning, rollbacks, and promotion across environments
Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health

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

AI Systems & Governance – Specialist

HiRemoters

Location:

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 20, 2026

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