CrawlJobs Logo
Ericsson Logo Ericsson · IT - Software Development

Senior AI Analytics Engineer

United States, Boise, Idaho or Plano, Texas · Job Posted April 11, 2026
Apply Position
Job Link Share

Job Description

This role is a hybrid position with the expectation to work onsite (3) three days a week in the Ericsson office located in either Boise, Idaho or Plano, Texas and relocation is not offered for this position. We are looking for a Senior Data Engineer to join our 4-person Finance AI & Analytics team as a foundational technical hire. You will own the end-to-end data pipelines and transformation layer that power our AI agents and enable reliable, insight-ready data for finance leadership. This is a high-ownership role with direct visibility to the CFO and senior finance stakeholders. You will work closely with an Analytics Engineer and Data Analyst, reporting to the Head of Finance AI & Analytics.

Job Responsibility

  • Design, build, and maintain ELT pipelines that move data from finance source systems into Snowflake
  • Develop and own dbt models that transform raw data into clean, reliable, business-ready datasets
  • Integrate new finance data sources
  • Ensure data quality, reliability, and governance across the finance data layer
  • Support and expand Crystal, our Finance AI Agent, by building the data foundation it depends on
  • Collaborate with the Analytics Engineer to align on data modeling standards and best practices
  • Identify data pipeline gaps and proactively resolve them without being directed to
  • Contribute to the team's data infrastructure roadmap and technical decision-making

Requirements

  • Advanced SQL and Python -- you are comfortable writing complex queries and scripts from scratch
  • Hands-on experience building and owning ELT/ETL pipelines end-to-end
  • dbt (data build tool) for data transformation and modeling
  • Fivetran or equivalent ELT platform
  • Snowflake or a comparable cloud data warehouse
  • Proven ability to work autonomously with minimal technical oversight
  • Self-starter mentality -- you identify problems and solve them without waiting to be asked

Nice to have

  • Finance domain knowledge -- FP&A, billing, revenue, or OPEX data
  • Experience supporting AI or ML data pipelines
  • VBA coding experience
  • Claude code or equivalent AI coding tools
  • Building ML models
  • Background on a small data team where you wore multiple hats
  • Familiarity with Salesforce data structures and data quality challenges

What we offer

  • subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution
  • 401(k) plan has a 4% company match and immediate vesting
  • company-paid employee basic life and AD&D insurance and company-paid disability benefits
  • minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually
  • up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay
  • comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off
Ericsson - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior AI Analytics Engineer

8 matching positions

Senior Data Analytics & AI Engineer

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating ...
Location
Location
Ireland , Dublin
Salary
Salary:
Not provided
resmed.com Logo
ResMed
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive hands-on experience as a senior IC in data engineering, analytics engineering, or data architecture (typically 6+ years)
  • Expert-level SQL and data modeling skills on large-scale platforms (Snowflake preferred)
  • Strong experience building production data pipelines and models using Python, cloud services, and modern data stack tools
  • Proficiency with dbt or similar transformation frameworks
  • Demonstrated ability to set technical direction, define architectural patterns, and establish engineering best practices
  • Solid experience with Git/GitHub workflows, including branching strategies and collaborative development
  • Experience building and maintaining CI/CD pipelines in GitHub Actions, including automated testing and secure deployments
  • Ability to operate across both analytics engineering and data engineering responsibilities
  • Experience with cloud platforms such as AWS or GCP
Job Responsibility
Job Responsibility
  • Design data and AI products and applications consisting of system integrations, data model transformations and user interfaces while aligning with engineering best practices across teams
  • Build and evolve data pipelines using Python, Spark, APIs, connector frameworks, and other ingestion technologies while considering automation, observability, and resilient design patterns
  • Design high-quality Snowflake/dbt models, implement governance and testing standards, and mentoring less experienced engineers in scalable modeling and system design
  • Collaborate cross-functionally with product, engineering, and data science to shape impactful, scalable solutions
  • Drive future advanced analytics and ML capabilities by defining feature pipelines, supporting classical ML models, and enabling new AI-driven workloads including LLM-based and hybrid ML/AI architectures
What we offer
What we offer
  • Bonus plan
  • Working from home flexibility
  • Referral bonus
  • Preferred shareholding programme
  • Competitive benefits (Pension, Long-Term Illness Protection, Health Insurance...)
  • Internal career opportunity
  • Fulltime
Read More
Arrow Right

Senior Fullstack Engineer - AI & Analytics

Our mission – and your opportunity – is to help solve the challenges faced in an...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
safetyculture.com Logo
SafetyCulture
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience delivering high-quality solutions across both backend and frontend systems
  • Deep expertise in modern web frameworks, API design, and scalable distributed systems—ideally using Go and React
  • A strong track record of delivering impactful features end-to-end, balancing usability, performance and maintainability, while contributing to estimation, planning within cross-functional collaboration
  • Strong communication and interpersonal skills, a growth mindset with a focus on continuous improvement, both in your work and in uplifting team performance through actions or feedback
  • A commitment to delivering quality solutions that meet customer needs and align with business goals
Job Responsibility
Job Responsibility
  • Design, build, and operate full-stack SaaS systems, including scalable APIs, secure data flows, and responsive, performant UIs
  • Own feature delivery end-to-end, including breaking down requirements, providing accurate time estimates, and actively contributing to planning and team discussions
  • Lead architectural decisions across client and server codebases, ensuring scalability, maintainability, and performance
  • Champion engineering excellence, mentor other engineers, and drive continuous improvement in tooling, testing, and developer experience
  • Apply a practical understanding of AI technologies, identifying opportunities to leverage machine learning or automation to enhance user experience or platform capabilities
  • Drive high-performance team outcomes by setting rigorous engineering standards, mentoring peers, and proactively improving team practices to enhance quality, velocity, and collaboration
  • Work in a hybrid working environment, including at our HQ based in Surry Hills, Sydney
  • Demonstrate SafetyCulture’s values: Think Customer, Open Honest Always, Better as a Team, Be Bold Bring Action
What we offer
What we offer
  • Equity with high growth potential, and a competitive salary
  • Access to professional and personal training and development opportunities
  • Participation in hackathons, workshops, and lunch & learn sessions
  • Community involvement, open source work, attending talks and events, and experimenting with new technologies
  • Fulltime
Read More
Arrow Right
New

Senior Supply Chain AI & Analytics Engineer

In this highly visible role, you will help architect, develop, and operationaliz...
Location
Location
United States , Austin
Salary
Salary:
116000.00 - 174000.00 USD / Year
amd.com Logo
AMD
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expertise in Python and/or R, with hands‑on experience building and deploying AI/ML models, generative solutions, or AI agents that automate insights, recommendations, or actions
  • Strong capability in Power BI (data modeling, DAX, semantic layer design) and familiarity with ThoughtSpot or similar search/NLQ analytics tools
  • Demonstrated ability to architect scalable data and analytics solutions, integrating models, pipelines, and AI agents with enterprise platforms and supply chain systems
  • Background applying analytics, AI, or data science within planning, logistics, inventory, network optimization, S&OP, or other supply‑chain‑relevant workflows
  • Experience with feature engineering, production pipelines, and deploying models/agents into repeatable, maintainable operating environments
  • Knowledge of optimization techniques (linear programming, heuristics) and experience integrating analytics with ERP systems such as SAP
  • Exposure to LLMs, prompt engineering, and enterprise agent frameworks, with the ability to design solutions that are explainable and user‑friendly
  • Ability to work effectively in global teams, manage shifting priorities, collaborate across functions, and communicate clearly with leadership and technical partners
  • Bachelor's or master's degree in data science, Engineering, Operations Research, Supply Chain, Computer Science, or related field
Job Responsibility
Job Responsibility
  • Design, build, and deploy AI/ML models and advanced analytics that improve planning, inventory, logistics, network optimization, and S&OP, while architecting scalable data and analytics solutions that integrate seamlessly with enterprise platforms and supply chain systems
  • Develop and operationalize AI agents that continuously monitor supply chain signals, surface proactive insights, recommend actions, and automate decision workflows to enable a more autonomous supply chain environment
  • Translate ambiguous and complex supply chain problems into structured, data-driven solutions by performing exploratory analysis, scenario modeling, root‑cause investigations, and optimization across large datasets
  • Create high‑quality dashboards, semantic models, and KPI frameworks in Power BI
  • enable search‑driven and natural‑language analytics through ThoughtSpot
  • and establish best practices for visualization and data storytelling
  • Partner closely with data engineering teams to ensure reliable, well‑modeled datasets, while supporting pipeline development, feature engineering, and model deployment to production with an emphasis on scalability, explainability, and maintainability
  • Collaborate across Supply Chain, IT, and Transformation teams to align analytics initiatives with business priorities
  • communicate insights effectively to technical and non‑technical audiences
  • mentor junior contributors
  • Fulltime
Read More
Arrow Right

Senior AI-Native Fullstack Engineer – Data & Analytics

We are building a modern analytics and Business Intelligence solution for custom...
Location
Location
Salary
Salary:
Not provided
zvoove.de Logo
zvoove Group GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on with Claude Code, Codex, and agent-based workflows
  • GitHub Copilot-style autocomplete alone is not enough
  • Familiar with worktrees, subagents, MCP, structured prompts, harness engineering, parallelization, and validating AI-generated code and analysis to production quality
  • Strong fullstack/backend experience, ideally with Python and/or TypeScript
  • Able to build production-grade services, APIs, scripts, tools, automation, and clean interfaces
  • comfortable with version control, review, debugging, testing, and existing systems
  • Strong SQL, data modeling, analytical schemas, transformations, and downstream data use
  • Able to translate product-defined KPIs into datasets and metrics, and validate messy operational data, edge cases, system limitations, and customer-specific differences
  • Hands-on with AWS or similar cloud environments, including storage, databases, queues, containers, serverless/scheduled processing, SDKs, and APIs
  • Understands deployment, secrets, networking, permissions, runtime configuration, scalability, performance, cost, and operational trade-offs
Job Responsibility
Job Responsibility
  • Build backend services, APIs, internal tools, lightweight UI/admin screens, automation, job runners, integrations, and customer-specific configuration around the data
  • Ingest, validate, transform, and document ERP, API, SQL, file, and cloud data
  • map product-defined KPIs to available sources and identify gaps or inconsistencies
  • Create validated, analysis-ready datasets with consistent schemas, reproducible transformations, and clear naming for reporting, APIs, product features, and customer-facing analytics
  • Deploy and operate reliable cloud solutions, preferably AWS, owning monitoring, alerts, failure handling, performance, cost, and operational reliability
What we offer
What we offer
  • Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownership
  • Individual development opportunities, structured onboarding, and interdisciplinary collaboration
  • Flexible working models including hybrid work, home office, and mobile working
  • A modern tech environment and agile ways of working
  • Additional benefits such as pension plans, health offers, and employee discounts
  • Fulltime
Read More
Arrow Right

Senior AI Engineer – Microsoft Fabric & Azure AI Foundry

We are looking for an experienced AI Engineer to lead the implementation of Azur...
Location
Location
United States , New York City
Salary
Salary:
160000.00 - 220000.00 USD / Year
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in cloud engineering, AI engineering, or data platform architecture
  • Strong hands-on experience with: Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Data Services
  • Experience integrating AI workloads into enterprise analytics platforms
  • Proficiency in Python and/or C#
  • Experience with REST APIs, SDKs, and AI orchestration frameworks
  • Knowledge of: Vector databases, Retrieval-Augmented Generation (RAG), Prompt engineering, Model evaluation and monitoring
  • Familiarity with DevOps practices including GitHub Actions or Azure DevOps
  • Strong understanding of enterprise security and governance
Job Responsibility
Job Responsibility
  • Design and implement AI solutions using Microsoft Azure AI Foundry within an existing Microsoft Fabric architecture
  • Integrate AI services with Fabric components including: Data Factory, OneLake, Power BI, Lakehouse and Warehouse environments, Real-Time Analytics
  • Build and operationalize generative AI and machine learning workflows
  • Configure and manage: Azure AI Services, Azure OpenAI, Model deployment pipelines, Prompt orchestration and evaluation
  • Establish secure connectivity between Azure AI Foundry and enterprise data sources
  • Implement governance, RBAC, security, compliance, and cost management controls
  • Develop reusable AI pipelines, APIs, and automation frameworks
  • Collaborate with platform teams to ensure scalability, observability, and production readiness
  • Support CI/CD and Infrastructure-as-Code deployment patterns
  • Provide technical leadership and documentation for AI platform adoption
What we offer
What we offer
  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts
  • Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts
  • Fulltime
Read More
Arrow Right

Senior Engineer / Lead Engineer - Virtual Engineering - AI ML

Sponsorship:  GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE....
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
  • 5+ years in Automotive Manufacturing / Manufacturing Engineering Experience
  • 1+ year experience in implementing AI/ML solutions in Automotive use cases
  • Should have executed at least 2 end-to-end projects in the text or Image data domain (from problem definition to deployment)
  • Strong programming skills in Python
  • Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost
  • Solid understanding of statistics, probability, and linear algebra
  • Experience in data preprocessing, feature engineering, ETL and Exploratory Data Analysis (EDA)
  • Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML)
  • Knowledge of ML model evaluation
Job Responsibility
Job Responsibility
  • Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space and solve them using ML methodologies
  • Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendation systems
  • Work with MLOps tools to automate workflows, CI/CD pipelines, and model monitoring
  • Evaluate, validate, and benchmark model performance using appropriate metrics
  • Deploy AI models into production environments in collaboration with IT/AI teams
  • Establish monitoring and maintenance processes to ensure model accuracy over time
  • Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
  • Document workflows, results, and lessons learned for organizational knowledge sharing
  • Stay updated on advancements in ML model evaluation, ML frameworks, end-to-end ML pipelines
  • Fulltime
Read More
Arrow Right

Senior Engineer / Lead Engineer - Virtual Engineering - AI CAE

Senior Engineer / Lead Engineer – AI CAE will Drive AI innovation in CAE analysi...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar.
  • 5+ years experience in CAE at Automotive Product Development / Manufacturing Engineering.
  • 3+ years' experience in implementing AI solutions in CAE
  • Should have executed at least 5+ years of Core CAE domain (from problem definition to deployment) experience.
  • Strong programming skills in Python, MATLAB, CAE tool-specific APIs (Altair suite, NASTRAN, ANSYS APDL, Abaqus etc.), workflow automation.
  • Experience with ML frameworks like Pytorch, TensorFlow.
  • Understanding of data annotation tools and MLOps workflows.
  • Experience in data handling and feature engineering.
  • Strong problem-solving and analytical mindset.
  • Experience in domain-specific AI use cases (manufacturing, automotive, etc.).
Job Responsibility
Job Responsibility
  • Collaborate with stakeholders to understand business problems in the CAE domain and translate them into AI solutions.
  • Design, develop, and fine-tune AI/ML models for Simulation result prediction and design optimization, Automating repetitive CAE tasks (meshing, boundary conditions, post-processing).
  • Evaluate, validate, and benchmark model performance using appropriate metrics.
  • Deploy AI models into production environments in collaboration with IT/AI teams.
  • Establish monitoring and maintenance processes to ensure model accuracy over time.
  • Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements.
  • Document workflows, results, and lessons learned for organisational knowledge sharing.
  • Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques.
  • Fulltime
Read More
Arrow Right

Senior Engineer / Lead Engineer - Virtual Engineering - AI CFD

Senior Engineer / Lead Engineer – AI CFD will Drive AI innovation in CFD domain....
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar
  • 5+ years experience in CFD at Automotive Product Development / Manufacturing Engineering
  • 2+ years experience in implementing AI solutions in CFD
  • Should have executed at least 5+ years of Core CFD domain (from problem definition to deployment) experience
  • Strong programming skills in Python and C++ for automation and solver integration
  • Experience with ML frameworks like Pytorch, TensorFlow
  • Knowledge of surrogate modeling, reduced-order modeling (ROMs), and regression techniques
  • Experience in data handling (large-scale CFD datasets) and feature engineering(feature extraction from flow fields like velocity, pressure, turbulence quantities)
  • Strong problem-solving and analytical mindset
  • Understanding of data annotation tools and MLOps workflows
Job Responsibility
Job Responsibility
  • Collaborate with stakeholders to understand business challenges in the CFD space and solve them using API based customization and AI methodologies
  • Collect, clean, annotate, and prepare datasets for text analysis and image comparison tasks
  • Design, develop, and fine-tune AI/ML models for: Automating mesh generation, solver setup, and post-processing of CFD results
  • Building optimization pipelines for thermal and fluid systems using AI-assisted approaches
  • Evaluate, validate, and benchmark model performance using appropriate metrics
  • Deploy AI models into production environments in collaboration with IT/AI teams
  • Establish monitoring and maintenance processes to ensure model accuracy over time
  • Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
  • Document workflows, results, and lessons learned for organizational knowledge sharing
  • Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques
  • Fulltime
Read More
Arrow Right