ai-driven scrum master / intelligent delivery orchestrator

ai engineer

ai-driven scrum master / intelligent delivery orchestrator Jobs in Houston

data center network engineer, ai repair Jobs in Houston

data center network engineer, ai repair

genai architect

landscape architect manager Jobs in Houston

landscape architect manager

ai architect

Forum Energy Technologies

<div>Job Summary:

We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to our AI transformation journey, enabling autonomous AI agents that streamline operations, enhance decision-making, and unlock new efficiencies across the organization. The ideal candidate will possess a hybrid skill set spanning machine learning, data engineering, and software development, with a passion for building scalable AI systems and a strong foundation in data governance.

Key Responsibilities:
<ul>
<li>Design, develop, and deploy agentic AI systems that autonomously execute multi-step workflows across business functions (e.g., IT, HR, Finance, Operations).</li>
<li>Collaborate with cross-functional teams to identify high-impact AI use cases and translate them into technical solutions.</li>
<li>Build and maintain robust ML pipelines, including data ingestion, model training, deployment, and monitoring (MLOps).</li>
<li>Lead data standardization initiatives to ensure high-quality, consistent, and AI-ready data across systems.</li>
<li>Partner with data engineering and IT teams to define and implement data governance frameworks, taxonomies, and metadata standards.</li>
<li>Monitor and optimize AI model performance in production environments, ensuring reliability, scalability, and alignment with business goals.</li>
<li>Serve as a technical advisor on AI/ML best practices, tools, and emerging technologies.</li>
<li>Support change management efforts to improve data literacy and promote standardization best practices</li>
<li>Stay ahead of industry trends and maintain compliance with evolving regulations affecting AI and data.</li>
</ul>
Required Qualifications:
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>5+ years of experience in machine learning engineering, data science, or AI solution development.</li>
<li>Proven experience deploying ML models into production environments using cloud platforms (e.g., Azure, AWS, GCP).</li>
<li>Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.</li>
<li>Strong understanding of data structures, algorithms, and software engineering principles.</li>
<li>Experience with data governance, data quality frameworks, and enterprise data architecture.</li>
<li>Familiarity with MLOps tools and practices (e.g., CI/CD for ML, model monitoring, versioning).</li>
<li>Excellent communication skills and ability to collaborate across technical and non-technical teams.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience building or integrating AI agents or autonomous systems.</li>
<li>Knowledge of enterprise systems (e.g., ERP, CRM) and their data structures.</li>
<li>Familiarity with data visualization tools (e.g., Power BI / SSRS) and SQL.</li>
<li>Experience with multi-agent systems or agent orchestration frameworks.</li></ul></div>

AI Architect

Credera

<div><div>Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.</div>
We are looking for an enthusiastic GenAI and LLM Architect to add to Credera's Data capability group. Our ideal candidate is excited about leading project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The architect should be familiar with the deployment of enterprise scale models into a production environment; this includes leveraging full development lifecycle best practices for both cloud and on-prem solutions across a variety of use cases.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements and serve as a technical expert in client communications. On a typical day, you might expect to participate in design sessions, provision environments, and coach and lead junior resources on projects.

WHO YOU ARE:
<ul>
<li>Proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions</li>
<li>5+ years of hands-on statistical modeling and/or analytical experience in and industry or consulting setting</li>
<li>Master's degree in statistics, mathematics, computer science or related field (a PhD is preferred)</li>
<li>Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)</li>
<li>Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation</li>
<li>Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation</li>
<li>Experience with data processing using LangChain, data embedding using LLMs, Vector databases and prompt engineering</li>
<li>Advanced knowledge of relational and non-relational databases (SQL, NoSQL)</li>
<li>Proficient in large-scale distributed systems (Hadoop, Spark, etc.)</li>
<li>Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.)</li>
<li>Passion for leading teams and providing both formal and informal mentorship</li>
<li>Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity</li>
<li>Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience</li>
<li>Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level</li>
<li>Stay current with AI/ML trends and research; be a thought leader in AI area</li>
<li>Experience with implementing machine learning models in production environments through one or more cloud platforms:</li>
<li><ul><li>Google Cloud Platform</li>
<li>Azure cloud services</li>
<li>AWS cloud services</li>
</ul></li>
</ul>Basic Qualifications
<ul>
<li>Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success</li>
<li>Contribute in a team-oriented environment</li>
<li>Prioritize multiple tasks in order to consistently meet deadlines</li>
<li>Creatively solve problems in an analytical environment</li>
<li>Adapt to new environments, people, technologies and processes</li>
<li>Excel in leadership, communication, and interpersonal skills</li>
<li>Establish strong work relationships with clients and team members</li>
<li>Generate ideas and understand different points of view</li>
</ul><div>
Learn More: Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development.
Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance.

Benefits: Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare &amp; Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com.

Hybrid Working Model: Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. The Why: In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.

Travel: For our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%&ndash;30%. We take a personal approach to travel by considering your submitted preferences when assigning roles.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.</div></div>

GenAI Architect

Samsara

<div><div>Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations&trade; Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing &mdash; and we are excited to help digitally transform their operations at scale.

Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.</div>
About the role:

Samsara's Revenue Operations AI &amp; Data Team is building the future of how we go to market &mdash; with intelligence, personalization, and speed. We're a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message &mdash; and to put everything they need at their fingertips, whether that's data from Salesforce, context from a past call, or content that wins deals.

As a Data Engineer II, you'll own the data platforms that power Samsara's GTM AI engine. You'll be responsible for building, scaling, and optimizing our Databricks data store, visualization store, and AI store, while also enabling large-scale generative AI jobs in Databricks. Your work will ensure that our AI applications are grounded in clean, reliable, and well-structured data from CRM pipelines, CS Systems to GenAI-powered copilots. You'll partner closely with data scientists, AI engineers, and business stakeholders to deliver the infrastructure that fuels innovation at scale.

This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You should apply if:
<ul>
<li>You want to impact the industries that run our world: Your efforts will result in real-world impact&mdash;helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.</li>
<li>You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.</li>
<li>You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.</li>
<li>You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.</li>
</ul>
In this role, you will:
<ul>
<li>Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases.</li>
<li>Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation).</li>
<li>Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery.</li>
<li>Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale.</li>
<li>Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows.</li>
<li>Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale.</li>
<li>Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments.</li>
<li>Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems.</li>
<li>Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations.</li>
</ul>
Minimum requirements for the role:
<ul>
<li>2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms.</li>
<li>Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Redshift, RDS, Snowflake or similar solutions.</li>
<li>Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines.</li>
<li>Experience orchestrating data workflows at scale and enabling machine learning or AI use cases.</li>
<li>Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design.</li>
<li>Located in and authorized to work in the United States (this is a fully remote role).</li>
</ul>
An ideal candidate also has:
<ul>
<li>Experience enabling generative AI workflows in Databricks or similar platforms.</li>
<li>Familiarity with vector databases, embeddings, and retrieval systems.</li>
<li>Experience with Salesforce, Gainsight, Gong, Outreach, or other CRM/enablement tools as data sources.</li>
<li>Proven ability to automate repetitive tasks, improve data hygiene, and enable experimentation across GTM data use cases aligning with the emerging responsibilities of GTM engineering where clean, reliable GTM data foundations enable high-leverage automation and insight generation</li>
<li>Exposure to observability, monitoring, and governance best practices for data and AI systems.</li>
<li>Ability to collaborate closely with AI/ML teams while driving technical excellence in data engineering.</li>
</ul><div>
Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.</div></div>

Data Engineer II

Phillips 66

Phillips 66 & YOU - Together we can fuel the future
 
As the Senior Advisor III, ERP Platform Architect , you will shape the long-term strategy and design of Phillips 66’s enterprise ERP ecosystem. You’ll guide architectural direction across complex SAP landscapes, ensuring that ERP capabilities enable business value, maintain clean-core discipline, and meet regulatory and security expectations. This role operates at an enterprise level, providing expert architectural leadership that connects technology decisions to business outcomes.
 
What You'll Do
 
Develop and evolve SAP architecture strategy aligned with business priorities and clean-core principles.
 
Lead architectural oversight for integrations, custom development, M&A activity, and modernization initiatives.
 
Define sustainable architecture standards and direct infrastructure and platform planning.
 
Guide upgrades, conversions, tooling decisions, and integration patterns across SAP and non-SAP systems.
 
Document and analyze current and future-state capabilities and guide enterprise readiness for change.
 
Identify and respond to security risks, ensure compliance with regulatory and audit requirements, and evaluate emerging technologies.
 
Evaluate emerging SAP capabilities and define architectural guardrails for responsible adoption aligned to enterprise governance.
 
Mentor team members and influence key technology decisions without direct authority.
 
What You'll Bring – Required
 
10 or more years of broad, deep experience in enterprise architecture or related technical leadership roles
 
Advanced proficiency and extensive hands‑on SAP experience, including S/4HANA, ECC architecture, and landscape design
 
Intermediate proficiency and knowledge of SAP PCE operating model and vendor delivery structures
 
Expert proficiency in defining and governing ERP architecture standards across applications, data, integration, security, and technology domains
 
Advanced proficiency in SAP Clean Core principles, technical debt governance, system conversions, and upgrade strategies
 
Intermediate proficiency in SAP BTP services, monitoring tools, observability solutions, or business process monitoring
 
Intermediate proficiency in designing and assessing ERP integrations across SAP and non‑SAP systems
 
Bachelor’s degree in Computer Science, IT, MIS or a related discipline
 
Legally authorized to work in the job posting country
 
What Makes You Stand Out – Preferred
 
Experience supporting SAP landscapes in asset‑intensive or highly regulated industries
 
Experience defining ERP or SAP standards in large enterprise environments
 
Knowledge of modern DevOps practices applied to SAP, including extensibility frameworks and custom‑code modernization
 
Master’s degree in Computer Science, IT, MIS or related discipline
 
Recognized subject‑matter expertise in data architecture, cloud computing, integration, or security management
 
Experience identifying and responding to security incidents and ensuring operational compliance
 
Advanced skills in cloud infrastructure, CI/CD concepts, and modern development environments
 
Familiarity with SAP Joule AI capabilities and emerging SAP AI tools
 
Compensation Range
 
This position has a base salary range of $176,400 – $215,600.
 
At Phillips 66, we are committed to pay transparency and competitive, equitable compensation. Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers. Where a candidate offer falls within the posted range depends on the candidate's experience, skills, and alignment with the role’s requirements. Offers are made to ensure internal equity and market competitiveness. Our compensation programs are designed to reward performance and support career growth.
 
Total Rewards
 
At Phillips 66, providing access to high quality programs and care for you and your family is important to us. Maintaining a culture of well-being — physical, emotional, social, and financial — is essential for a high-performing organization. When we are at our best, we are poised to deliver exceptional results — personally and professionally. Benefits for certain eligible, full-time employees include:
 
Annual Variable Cash Incentive Program (VCIP) bonus
 
8% 401k company match
 
Cash Balance Account pension
 
Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
 
Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services
 
Learn more about Phillips 66 Total Rewards (http://hr.phillips66.com) .
 
Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, cultivate an environment of trust, seek different perspectives and pursue excellence.
 
Learn more about Phillips 66 and how we are working to meet the world's energy needs today and tomorrow, by visiting phillips66.com.
 
To be considered
 
In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of 03/27/2026 .
 
Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
 
Phillips 66 is an Equal Opportunity Employer

Senior Advisor III, ERP Platform Architect

Tixy Tech

<div>
 
 AI-Driven Scrum Master / Intelligent Delivery Orchestrator
 
 
 
 
 
 About the Role
 
 
 
 
 
 We are modernizing the Scrum Master role for an AI-enabled delivery organization.
 
 
 This position is an AI-Driven Scrum Master / Intelligent Delivery Orchestrator who enhances team operations by using AI tools, building lightweight workflow aids, and improving delivery flow across engineering and product teams.
 
 
 
 
 
 You will work directly inside Azure DevOps for delivery flow and work tracking, while using M365, Copilot Studio, and other approved AI tools to reduce manual work, surface insights, and support predictable delivery.
 
 
 
 
 
 This is a hands-on, insight-driven role focused on productivity, predictability, and smart risk management.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 AI-Enabled Workflow Support
 
 
 &bull; Use enterprise-approved AI tools (M365, Copilot Studio, automation platforms) to streamline delivery activities.
 
 
 &bull; Create simple, low-effort AI helpers that automate repetitive preparation tasks such as standup summaries, backlog clarity checks, refinement preparation, risk surfacing, and dependency signals.
 
 
 &bull; Apply AI to improve meeting readiness, reduce manual coordination effort, and help the team stay aligned.
 
 
 &bull; Continuously identify opportunities where lightweight automation can remove friction and strengthen delivery flow.
 
 
 
 
 
 AI-Augmented Delivery Operations
 
 
 &bull; Use AI insights to analyze sprint flow (cycle time, throughput, aging WIP, bottlenecks) from Azure DevOps.
 
 
 &bull; Use AI summarization to reduce prep time for standups, planning, and retros.
 
 
 &bull; Present AI-generated insights that help teams see risks and patterns clearly.
 
 
 
 
 
 Backlog Refinement Support (CDF-Aligned)
 
 
 &bull; Use AI tools and the Community Development Framework (CDF) to improve story clarity, acceptance criteria, decomposition, and dependency visibility.
 
 
 &bull; Ensure work is refined and ready before entering sprints (without replacing PO accountability).
 
 
 
 
 
 AI-Driven Risk Management
 
 
 &bull; Continuously surface risks using AI, including dependency collisions, delivery drift, aging or stalled work, overload indicators, scope or clarity risks, and cross-team impacts.
 
 
 &bull; Use AI to detect emerging risks early and ensure they are visible and escalated appropriately.
 
 
 (You identify and surface risks &mdash; you do not solve engineering risks yourself.)
 
 
 
 
 
 Flow Optimization and Predictability
 
 
 &bull; Use AI patterns and ADO signals to improve sprint predictability.
 
 
 &bull; Identify bottlenecks and inefficiencies with AI support.
 
 
 &bull; Reduce manual overhead by applying automation to planning, reporting, and day-to-day operations.
 
 
 
 
 
 Cross-Team Coordination
 
 
 &bull; Use AI insights to uncover cross-team dependencies and delivery impacts.
 
 
 &bull; Facilitate alignment with Product, Engineering, and peer Scrum Masters based on predictive indicators.
 
 
 &bull; Help modernize delivery practices with smarter workflows and automation.
 
 
 
 
 
 Security and Delivery Risk Awareness
 
 
 &bull; Recognize when work involves sensitive data, key integrations, or elevated delivery risk.
 
 
 &bull; Ensure relevant security acceptance criteria are included when appropriate (not authored by this role).
 
 
 &bull; Use AI responsibly following approved prompt, privacy, and data-handling guidelines.
 
 
 &bull; Surface potential security concerns early and route to Security or Architecture.
 
 
 (Awareness only &mdash; not teaching, not security engineering.)
 
 
 
 
 
 AI-Assisted Governance and Reporting
 
 
 &bull; Use M365 and Copilot Studio to generate automated sprint summaries, retro insights, delivery dashboards, risk logs, and leadership updates.
 
 
 &bull; Reduce manual reporting by automating repeatable workflows.
 
 
 
 
 
 Quarterly Planning and Roadmap Support
 
 
 &bull; Participate in quarterly planning sessions to align teams on long-standing initiatives and organizational priorities.
 
 
 &bull; Support the translation of quarterly objectives into sprint-level plans, collaborating with Product Owners and engineering leads.
 
 
 &bull; Use AI tools and insights to help validate sequencing, surface risks, and highlight cross-team dependencies ahead of each quarter.
 
 
 &bull; Maintain visibility into roadmap commitments and ensure sprint-level delivery aligns with quarterly goals.
 
 
 &bull; Provide automated summaries and alignment signals using M365 and AI workflows to support quarterly reviews.
 
 
 
 
 
 Qualifications
 
 
 
 
 
 Required
 
 
 &bull; 5+ years as a Scrum Master or Delivery Lead.
 
 
 &bull; Hands-on experience using Azure DevOps for boards, sprints, and delivery flow.
 
 
 &bull; Experience using AI tools (Copilot, M365-based AI, workflows, or automation platforms).
 
 
 &bull; Ability to interpret data and AI insights to support better team decision-making.
 
 
 &bull; Strong communication and organizational skills.
 
 
 
 
 
 Preferred
 
 
 &bull; Experience building simple workflows in Copilot Studio, M365, or Power Automate.
 
 
 &bull; Exposure to software delivery environments (product, engineering, QA).
 
 
 &bull; Awareness of secure development and data-handling expectations.
 
 
 &bull; Experience driving modernization or AI adoption within delivery teams.
 
</div>

Scrum Master

Ocean Blue Solutions Inc

<div>
 Data Scientist &ndash; AI/ML Focus
 
 
 12+ Months &ndash; Houston, TX (Hybrid x4)
 
 
 
 Job Description
 
 
 
 We are seeking a Data Scientist with a strong foundation in AI/ML to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions. Time Series Model Development expertise is required.
 
 
 This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.
 
 
 
 Key Responsibilities
 
 
 
 AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.
 
 
 
 Technical Skills:
 
 AI &amp; Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).
 
 
 
 Programming:
 
 Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
 
 
 
 Data Engineering &amp; SQL:
 
 Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
 
 
 
 Cloud &amp; MLOps:
 
 Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.
</div>

Data Scientist - Houston,TX

PARKHILL

<div>Overview:
<div>
The Senior Data &amp; AI Engineer will design, build, and maintain the infrastructure and systems that power data and AI use cases at Parkhill. This role focuses on data pipelines, production AI systems, and scalable platforms that enable data analyst/scientists and business teams to work efficiently with reliable, high-quality data.
</div>Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Design, implement, and maintain end-to-end data pipelines from AEC specific source systems (ex. Civil3D, Revit, Procore, etc.) into a use-case-ready environment</li><li>
Collaborate with business SMEs, data analysts/scientists, and the Digital Practice group to provide reliable and clean data</li><li>
Build and deploy machine learning and AI models into production environments, ensuring scalability and reliability</li><li>
Manage cloud platforms and data storage systems
</li><li>Develop APIs and platforms to enable integration of AI solutions into business use cases</li><li>
Optimize data systems for speed, efficiency, and reliability</li><li>
Mentor junior engineers and provide technical leadership for data infrastructure initiatives</li></ul>
Qualifications:
<ul><li>7+ years in data engineering, AI engineering, or software engineering roles, preferably in the AEC industry</li><li>
Experience with cloud platforms (Azure, AWS) and big data tools
</li><li>Strong proficiency in Python, SQL, and data engineering frameworks</li><li>
Experience deploying ML/AI models into production (Docker, Kubernetes)</li><li>
Familiarity with AI/ML frameworks for production use</li><li>
Experience with data visualization/BI tools (Power BI, Tableau) a plus</li><li>
Understanding of data security, governance, and compliance standards</li></ul></div>

Senior Data & AI Engineer

Explore 62+ Ai architect in Houston this March. Find roles across top companies and apply now to boost your career.