Alibaba Cloud Model Studio Console Jobs in Usa
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*** No 3rd parties accepted
*** Must work onsite Pittsburg, PA
The Enterprise Architect would perform a crucial role in shaping the bank’s technology landscape by defining and governing enterprise-wide architecture standards, frameworks, and roadmaps. This role is strategic focused to ensure that technology investments are aligned with business strategy, regulatory requirements, and digital transformation goals across consumer, commercial, and corporate banking. The ideal candidate would bring in-depth expertise in enterprise architecture (full stack application design, development, implementation, and support with hybrid deployment approach (on-premises and cloud-native)), stakeholder engagement, and banking technology modernization that is critical for successful running, maintaining of secure and robust technology stack.
Key Responsibilities:
Develop and maintain enterprise architecture blueprints across applications, data, infrastructure, and security domains.
- Partner with leader to define and implement the enterprise architecture vision, strategy, and operating model tailored to banking business lines.
- Define framework for architecture standards for responsive design, accessibility, and cross-platform compatibility
- Align technology strategy with business capabilities, regulatory obligations, and operational priorities.
- Establish and Lead architecture governance processes, including review boards, standards enforcement, and solution alignment.
- Collaborate with business and IT leaders to evaluate and prioritize technology initiatives.
- Define reference architectures and reusable patterns for cloud, API, integration, and data platforms.
- Evaluate emerging technologies (e.g., biometrics, AI/ML, real-time payments) for strategic fit and innovation potential.
- Support modernization of legacy systems and migration to cloud/hybrid environments.
- Ensure architectural compliance with banking regulations (e.g., GLBA, FFIEC, SOX, BCBS 239).
- Mentor solution architects and technical leads across business units.
Required:
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
- 10+ years of experience in full stack development and enterprise architecture, with at least 3 years of experience in enterprise architecture or solution architecture strategy in digital banking or fintech.
- Strong understanding of banking domains including core banking, lending, payments, digital channels, and risk.
- Expertise in architecture frameworks (e.g., TOGAF, Zachman) and modeling languages (e.g., ArchiMate, UML).
- Experience with cloud platforms (AWS, Azure, GCP), hybrid environments, and API ecosystems.
- Familiarity with enterprise architecture tools (e.g., LeanIX, Ardoq, MEGA, Sparx EA).
Preferred:
TOGAF, Azure Architect, AWS Architect or equivalent certification.
- Experience in digital transformation, cloud migration, or core banking modernization.
- Exposure to AI/ML applications, enterprise risk, cybersecurity, and data governance programs.
- Familiarity with agile and DevSecOps practices in regulated environments.
Translate complex data systems into clear architecture diagrams and documentation.
Contribute directly to implementation.
Responsibilities: Design and implement secure, scalable cloud-based data pipelines, data lakes, and data warehouses.
Evaluate, select, and integrate cloud data services including storage, databases, and analytics tools.
Develop and maintain cloud data architecture strategies aligned with business and technical goals.
Create clear data flow diagrams, system architecture diagrams, and entity-relationship diagrams.
Document data architecture designs, technical decisions, and system processes.
Maintain architecture documentation to support development and operational teams.
Participate directly in the implementation of cloud data solutions and data pipelines.
Identify and implement performance optimization strategies for cloud-based data systems.
Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
Requirements: Bachelor’s Degree in Computer Science Engineering (Mandatory).
Minimum 5 years of hands-on experience in data engineering using distributed computing frameworks such as Spark, MapReduce, or Databricks.
Proven experience designing and implementing Azure-based cloud data solutions.
Required Skills: Strong knowledge of data modeling techniques and best practices.
Proficiency with relational and non-relational database systems.
Strong experience creating architecture diagrams using tools such as Visio, Lucidchart, or similar visualization tools.
Preferred Skills: Advanced experience with Azure data services such as Databricks and Azure Data Lake.
Expertise in big data technologies including Hadoop and Spark.
Knowledge of data governance, security frameworks, and compliance practices.
Experience with Python and SQL scripting.
Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.
The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).
This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required Skills & Qualifications 8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Email:
DevOps Engineer
Job ID
2026-2165
# of Openings
1
Category
Software Engineering
Overview
Pyramid Systems is seeking an experienced DevOps/AWS Engineer take responsibility for creating, building, deploying, orchestrating, and automating deployment packages in AWS cloud-based environment.
Responsibilities
- Design and automate cloud environments at scale using Infrastructure as Code tools
- Design and develop fully automated software delivery pipelines
- Efficiently collaborate within and across agile teams to maximize productivity
- Develop technical documentation, architecture diagrams, and similar
- Engage in all agile ceremonies including backlog grooming, demos and retrospectives
- Eliminate roadblocks and hindrances preventing teams from delivering software
- Assist the team in documenting and leveraging cloud and DevOps best practices
- Fullstack development using modern frameworks and languages Python or JavaScript
- Quickly learn and adapt to new technologies, frameworks, or project requirements as needed
- Apply critical thinking and a solutionoriented mindset to identify issues and propose effective resolutions
- Integrate AI/ML models into applications to enhance functionality, automation, and overall user experience
- Collaborate with crossfunctional teams to design scalable architectures supporting both traditional and AIdriven features
- Implement best practices for model deployment, data handling, and performance optimization in AIenabled systems
Qualifications
- Bachelor's degree in computer science, engineering, or related field
- Must have AWS certs and/or CompTIA relevant certifications
- 5+ years of experience managing cloud or virtualized infrastructure
- Passionately practices Infrastructure automation using Terraform, Ansible, or similar
- Knowledge and familiarity with Docker and Kubernetes
- Fluent in at least one programming language - Python, Go, Typescript, JavaScript or similar
- Strong system administration experience in Linux
- Knowledge of AWS DevOps with GitHub Actions, GitLab CI/CD, Jenkins, or similar
- Strong team player, communicates well, and caries an infectious can-do attitude
- Must have hands on experience with Claude Code or similar AI tools
- Strong experience in compliance frame works like: ATO, SOC 2, PCI-DSS, FedRAMP, NIST 800-53, or CIS Benchmarks
Target Pay Range
The below listed pay range for this position is not a guarantee of compensation or salary. The final offered salary will be influenced by a host of factors including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at Pyramid Systems that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits, to include our Employee Stock Ownership Program, FlexPTO, and learning and development opportunities.
Pyramid Min
USD $123,760.00/Yr.
Pyramid Max
USD $185,640.00/Yr.
Why Pyramid?
Pyramid Systems, Inc. is an award-winning, technology leader, driving digital transformation across federal agencies. We empower forward-thinking innovations, accelerate production-ready software, and deliver secure solutions so federal agencies can meet their mission goals. Voted a Top Workplace, both regionally (Washington, DC) and Nationally (USA) the past 2 years (2023 and 2024) based on the feedback from our employees, we are headquartered in Fairfax, VA. and have a growing national footprint. We value and promote our Flexible Workplace approach because of the positive impacts it has on work-life integration. We remain committed to ensuring every employee's voice is heard, performance and results are recognized and rewarded, development and advancement is a focus, and diversity, equity and inclusion is a company priority. We offer competitive compensation and benefits (including a recently launched Employee Stock Ownership Plan - ESOP), a robust performance-based rewards program, and we know how to have fun! Our people and culture have endured and delivered for our clients for nearly three decades.
EEO Statement
Pyramid Systems, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.
As a Staff Software Engineer, Airflow, you will be a key technical leader, responsible for the architecture, technical vision, and strategic evolution of the Apache Airflow-based workflow orchestration platform within the company's data ecosystem. You will be expected to solve the most complex, ambiguous, and high-impact technical problems that span multiple teams or organizational boundaries.
As a Staff Software Engineer you will:
Technical & Architectural Leadership: Drive the multi-quarter technical roadmap and architecture for the Airflow platform, ensuring it is secure, highly scalable, reliable, and cost-efficient for enterprise-grade workloads.
Complex Problem Solving: Design and implement solutions for the most challenging technical issues, such as extreme scale, multi-tenancy isolation, complex scheduling, and hybrid/multi-cloud deployment models.
Cross-Functional Impact: Collaborate closely with product management, principal engineers, and other platform teams (e.g., Spark, Kubernetes) to define and deliver core orchestration capabilities that influence the entire data platform.
Engineering Excellence: Define and champion best practices, performance optimization, and quality standards (observability, testing, and fault tolerance) for the Airflow service and its integrations.
Mentorship: Mentor senior and junior engineers on complex technical design, best practices, and execution, elevating the overall technical capacity of the team and organization.
Open Source: Maintain significant contributions and influence within the Apache Airflow open-source community, aligning the project's roadmap with product strategy.
We are excited if you have (Required Qualifications):
Bachelor's degree in Computer Science or equivalent, and 6+ years of experience
Deep Airflow Expertise: Deep, hands-on knowledge of Apache Airflow internals (scheduler, executor, serialization, REST APIs) and complex DAG authoring/optimization.
Programming: Mastery in Python, some Java experience and extensive experience with core data platform technologies and cloud-native deployments (e.g., Kubernetes, Cloud Composer, AWS/GCP/Azure).
Systems Thinking: Demonstrated ability to drive design and architectural decisions with a focus on non-functional requirements (security, performance, high availability, fault tolerance).
Leadership: Proven ability to lead and drive technical projects across multiple teams without direct reporting authority.
You may also have:
Experience defining the architecture for multi-tenant, service-oriented data platforms.
Significant contributions to Apache Airflow or related open-source projects.
Background in performance tuning and profiling large-scale Python and distributed applications.
Familiarity with data governance and security frameworks (e.g., Ranger, Kerberos) and their integration with workflow orchestration.
Why this role matters:
You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.
Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.
This role is not eligible for immigration sponsorship.
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups
EEO/VEVRAA
#LI-BV1
#LI-REMOTE
Our mission is to create an oasis that inspires and empowers women—and that mission comes to life every day in our US, Canada and Puerto Rico retail locations, distribution center, and corporate offices. We’re a team that works hard, has fun together, and holds integrity as non-negotiable. Collaboration is rooted in respect for our caring, loyal Windsor family, where every voice matters and continuous improvement is part of our DNA. We take pride in doing more with less, planning in thoughtful detail, and always listening with a smile—because creating value and making our customers happy is at the heart of everything we do.
At Windsor, high-quality performance is expected, and all job duties must be carried out safely, ethically, and in accordance with company standards. This role requires active support of the company’s Mission Statement and Core Values through both individual contributions and teamwork in pursuit of company goals. Team members are expected to maintain professionalism while complying with all company policies, procedures, work rules, and guidelines.
Summary:
The Creative Producer plays a key role by leading and managing photo and video productions that define Windsor’s brand identity and visual storytelling. The Creative Producer oversees creative projects from concept through completion, ensuring that every campaign and shoot embodies Windsor’s style, quality, and culture. Working closely with directors, designers, photographers, and cross-functional partners, the Creative Producer develops timelines, manages budgets and resources, and ensures that every detail—from talent and locations to post-production—is executed flawlessly and aligned with Windsor’s vision.
Essential Job Functions & Responsibilities:
- Lead and manage creative projects from concept to completion, ensuring all deliverables meet the project’s objectives, timeline and budget.
- Own the annual concept budget, applying strategic planning, coordinating and planning with Studio Manager to allocate appropriate staff and budget.
- Collaborate with directors, designers, and other creatives to generate innovative ideas and ensure a cohesive vision across all aspects of production.
- Develop project timelines, manage resources, and communicate effectively with internal teams and vendors to ensure smooth execution.
- Serve as the primary point of contact for model agents, freelancers and vendors, ensuring their needs are met and expectations exceeded throughout the production process.
- Coordinate logistics, schedules, and resources for all aspects of production including talent, locations, equipment and post-production.
- Ensure all legal and safety requirements are met throughout the production process.
- Stay up to date with industry trends and best practices to continuously enhance creative
output and production process.
- Take full ownership of the shot list and shooting schedule for all concept and major
campaign shoots.
- Negotiate pricing and contractual terms for models, freelancers, locations and any vendor related items.
- Fosters Windsor’s Culture in creating a great work environment for team members
Key Qualifications & Requirements:
- At least 5 years of experience managing high-volume campaigns and working in an eCommerce studio environment.
- Must possess a strong understanding and knowledge of the fashion industry and retail environment.
- Ability to work in a fast paced, creative environment.
- Proficiency working in excel and google Docs
- Ability to travel to 20% of the time as required for business needs.
- Must be detailed and highly organized
- BFA, BA or other design related degree desired
Physical/Environmental Demands and Overtime & Availability:
Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to walk short distances. Sedentary work. Exerting up to 10 pounds of force occasionally and/or a small amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Adequate movements (motions) of the wrists, hands, and/or fingers. Team members are required to have close visual acuity to perform activities such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
*Job descriptions are merely a summary of the position. Duties and responsibilities are subject to change and may include any other that management finds necessary to successfully maintain business operations.
WINDSOR EQUAL OPPORTUNITY EMPLOYER
Join us as a Senior, AI Workplace Transformation Consultant
You’ll play a pivotal role in delivering successful organisational change, backed by experience and knowledge of PROSCI, Kotter or other change frameworks, while also helping clients unlock the full potential of Microsoft 365, Copilot, Copilot Studio, Viva and more. You’ll develop and implement advanced change management strategies; drive people change and enablement and ensure that new solutions are adopted smoothly and deliver measurable value.
You’ll be a self-starting, adaptable, and energetic individual who thrives in fast-paced environments. You’ll bring strong experience in consultative client engagements, be open to challenge and feedback, and feel confident constructively challenging clients to ensure the best outcomes for everyone involved. A growth mindset is essential, along with a clear expectation that you’ll actively contribute to the continuous improvement of Changing Social.
Location: Nashville Tennessee / Remote Time zone: Eastern or Central preferred
Key Responsibilities:
Change Management Strategy
- Lead the design and execution of advanced change management strategies for clients adopting Microsoft 365 and Copilot solutions.
- Apply proven methodologies to build adoption plans, communications, and training tailored to diverse audiences.
- Ensure all change activities align with client business goals and deliver measurable outcomes.
Stakeholder Engagement
- Lead stakeholder mapping, engagement planning, and delivery of sessions to secure buy-in at all levels.
- Advocate, support, coach and mentor senior leaders in the importance and necessity of change.
- Build strong, trusted relationships with client sponsors, technical leads, and end users.
- Facilitate workshops and feedback sessions to ensure adoption challenges are addressed proactively.
Adoption Metrics, Reporting & Value Realisation
- Develop and implement measurement frameworks to track adoption, usage, and ROI of Copilot and other Microsoft solutions.
- Use reporting tools to monitor project effectiveness and recommend data-driven improvements.
- Communicate adoption progress and value realisation to key stakeholders and sponsors.
Microsoft 365, Copilot, Copilot Studio & AI Agents
- Understand, identify, scope and support the elements of the M365 Modern Workplace Applications that are of direct impact to the clients needs.
- Be well versed in the identification of business workflows and processes. Capable in crafting new ways of working that utilise the M365 platform and drive real world ROI.
- Deliver Copilot projects and custom conversational AI agents to meet client needs.
- Advise clients on best practices for creating and managing AI-powered solutions that enhance workflows and productivity.
- Translate functionality into clear guidance for end users, ensuring solutions are user-friendly and deliver on their promise.
- Collaborate closely with technical teams and developers to align AI deployments with user needs and organisational policies.
Product & AI Knowledge
- Leverage deep understanding of our solutions to assess client needs and recommend the most suitable products or agents that deliver optimal value and outcomes.
- Maintain up-to-date knowledge of Microsoft 365, Copilot for Microsoft 365, Copilot Studio, and broader M365 modern work platform
- Deliver client training sessions, Q&A drop-ins, and knowledge-sharing to embed new ways of working.
- Keep up to date of Microsoft’s AI roadmap to guide clients on upcoming features and capabilities.
Client Relationship Management & Pre-Sales
- Build and maintain long-term client relationships.
- Embed as a trusted advisor who can spot business benefits for our clients and build proposals and services to support those needs both commercially and via delivery.
- Support the sales team in scoping client needs, delivering demos, and showcasing our Copilot capabilities.
- Contribute to proposals and presentations, bringing both change management and technical expertise.
Qualifications
Education:
- Bachelor or masters degree in Business, Organisational Development, Information Technology, Anthropology or a related field is preferred but not essential.
Experience:
- 5+ years of experience in adoption and change management, with at least some exposure to configuring or supporting Microsoft 365 solutions.
- Hands-on experience working with Microsoft 365 products, Copilot Studio, Power Virtual Agents, or similar conversational AI tools is highly desirable.
Certifications:
- Relevant change management certification (e.g. PROSCI) required. Or significant proven track record and specific detailed knowledge of change frameworks.
- Desirable: Microsoft Certified: Power Platform Functional Consultant Associate (PL-200), Power Platform Solution Architect Expert (PL-600), or equivalent Copilot Studio certifications.
Skills
- Advanced knowledge of change management tools and methodologies.
- Strong analytical, problem-solving, and decision-making skills.
- Ability to communicate complex technical ideas clearly to non-technical audiences.
- Excellent stakeholder engagement and client relationship management skills.
- Confident in facilitating workshops and training sessions.
- Proactive, curious, and adaptable mindset with a passion for emerging AI capabilities.
Core Competencies
- Knowledge & Experience: Advanced knowledge of Microsoft 365, Copilot Studio, and change management best practices. Mentor colleagues and leads client training.
- Business Impact: Leads complex projects, drives measurable adoption, and supports business development.
- People & Team Management: Coaches junior team members, resolves issues, and drives collaboration.
- Communication & Influence: Communicates effectively with clients and internal teams, translating between technical and non-technical contexts.
- Problem Solving & Innovation: Designs creative solutions for adoption challenges, drives continuous improvement, and keeps up to date with the AI landscape.
Why Join Changing Social?
We are an equal opportunity employer, celebrating diversity and committed to creating an inclusive environment for all employees. We are on an exciting journey of growth that offers huge potential for ambitious and likeminded people. Changing Social has ambitious plans for the future. We aim to expand our team substantially in the coming years, having grown 58% over the past 12 months, with growth plans to hit a head count of 200 over the next three to five years.
Our culture is built on the values of Lovability, Openness, Versatility, and Enthusiasm. We thrive on creativity, embrace diversity, and are passionate about delivering exceptional service. As a rapidly growing company with a global footprint and a head office in the UK, we cater to an international audience while maintaining a localised approach where necessary.
Benefits:
- Annual Leave: 23 days of annual leave per calendar year, excluding Public Holidays, with an additional day for each year of employment up to a maximum of 5 days.
- Additional Leave: Gain an additional day of leave for each year of service, up to a maximum of 5 days.
- Annual Leave Carry Over: Carry over up to 5 days of unused annual leave to the next year.
- Festive Period: Business closure for a week during the festive period in December.
- Public Holidays: Flexibility to work over public holidays if desired or required, with time taken back on a subsequent day.
- Pension Scheme: 2% 401k employer contribution, 5% employee contribution.
- Flexible Working: Manage your own time to improve work-life balance and facilitate managing international time zones.
Additional Benefits:
Health and Wellbeing:
- US Health, Vision and Dental Plan
- My Mind Pal Wellbeing App
Financial Security:
- Bravo Perks: Points schemes and vouchers.
- Bravo Hub: Access to discount codes.
- Financial Wellbeing Tools: Budget planners, money-saving tools, and financial education resources.
Personal Development:
- Paid Microsoft Training and Certifications: Enhance your professional skills with company-sponsored training.
More about Changing Social
Our culture is built on the values of Lovability, Openness, Versatility, and Enthusiasm. We thrive on creativity, embrace diversity, and are passionate about delivering exceptional service. As a rapidly growing company with a global footprint and a head office in the UK, we cater to an international audience while maintaining a localised approach. Our POP values Preparation, Ownership, and Pride are the behaviours that underpin our high-performance culture. They’re how we turn our values into action, every day.
Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.
About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.
Apply Today if your Background Includes:
- 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
- Strong event-driven architecture + Kafka experience
- Proven experience modernizing legacy microservices & distributed systems
- AWS Cloud experience
- Hands-on Python experience for backend/data workflows
- DevSecOps mindset: automated testing, CI/CD, secure coding
- Experience supporting both greenfield and legacy systems
- Strong relational DB experience (Postgres preferred)
- Experience handling IoT or high-volume sensor data pipelines
- Familiarity with open-source tooling and cloud-agnostic architectures
- Ability to mentor junior engineers and provide technical leadership
What the Right Professional Will Enjoy!
- Fully remote work opportunity with up to 20% travel.
- Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
- Direct impact on safety, rail operations, and national freight logistics.
- Work on high-volume IoT, event-driven architectures, cloud-native systems.
- Exposure to AI/GenAI, automation, and open-source tooling
- Leadership opportunities with junior developers
Responsibilities:
- Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
- Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
- Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
- Lead architecture, design, and deployment efforts for new and existing services.
- Refactor and support large rules-engine frameworks (600+ rulesets).
- Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
- Use Python for backend workflows, automation, and data processing tasks.
- Build automated CI/CD and testing frameworks following DevSecOps best practices.
- Work with Postgres and relational databases to tune, model, and integrate data.
- Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
- Collaborate across teams to build scalable, modern systems.
- Support both new development and the existing application footprint.
Remote working/work at home options are available for this role.
The opportunity
Unity's Vector AI team sits at the intersection of large-scale machine learning and real-world impact: our models govern ad ranking and bidding decisions across billions of daily impressions. Get the models right so players can discover games they love.
We're looking for an Applied Scientist with experience on user understanding, sequence modeling, and/or conversion prediction.
What you'll be doing
- Design and ship user behavior models that directly influence ad ranking, bidding, and conversion outcomes across billions of impressions.
- Own model quality from deployment onward: calibration, drift detection, and feedback loop management.
- Shape how the team builds, contributing to long-term technical strategy and overseeing engineering execution.
- Bridge the gap between ML complexity and business reality, communicating clearly with non-technical partners.
What we're looking for
- Ph.D. in Computer Science, Machine Learning, Statistics, related fields, or equivalent practical experience.
- 2+ years of hands-on experience designing, building, and operating ML systems at scale in ads, search, recommendations, or related domains.
- Deep familiarity with at least one of: CVR/CTR prediction, auction theory, user modeling, or sequential recommendation.
- Production experience in Python and at least one systems language (Go, Scala, C++, or similar).
- Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
- Knowledge of metric design, experimentation methodologies, and large-scale data.
You might also have
- Experience with real-time bidding systems, auction dynamics, or marketplace optimization.
- Publications or patents in relevant areas.
Additional information
Relocation support is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at
Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!
The Role:
Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.
Responsibilities Include:
Architecture & Technical Strategy
- Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
- Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
- Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
- Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.
AI Engineering & Delivery
- Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
- Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
- Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
- Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
- Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
- Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
- Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
- Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.
Hands-On Engineering
- Write production code and lead by example — this role requires someone who is still close to the code.
- Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
- Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
- Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
- Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
- Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.
Leadership & Client Advisory
- Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
- Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
- Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
- Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
- Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
- Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
- Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
- Contribute to Launch's growth — practice development, thought leadership, and hiring.
Qualifications:
Must-Haves:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
- 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
- Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
- Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
- Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
- Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
- Experience leading engineering teams in agile delivery environments.
- Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
- Executive presence and communication skills effective with both technical and non-technical audiences.
- Proven ability to operate in ambiguous environments and adapt to diverse client cultures.
Strong Differentiators
- Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
- Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
- Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
- Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
- Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
- Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
- Domain depth in industries such as healthcare, financial services, retail, or public sector.
Compensation & Benefits:
As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.