Consultative Offerings - Analyst - Data & AI Solutions Engineering
The Data & AI Solutions Engineering Analyst at Confidential Client is an entry-level role focused on developing and deploying AI-driven, data-centric solutions that address complex business and societal challenges. The position involves building scalable data pipelines, operationalizing AI models, and collaborating closely with clients to deliver innovative, automated decision-making systems. This role emphasizes entrepreneurial thinking, technical expertise, and the ability to integrate AI solutions responsibly within client environments.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As a Data & AI Solutions Engineering Analyst, you will move beyond analysis to design, build, and deploy data-driven and AI-powered solutions that create measurable impact. You’ll work at the intersection of AI engineering, data infrastructure, and forward deployment — turning models and insights into production capabilities used by clients.
- Build and operationalize data pipelines, feature stores, and model-inference workflows.
- Design agentic workflows and automation that support decisioning at scale.
- Implement data processing, transformation, and integration across cloud platforms.
- Collaborate directly with client stakeholders in forward-deployed engagements to prototype, iterate, and deliver MVPs.
- Contribute to platform, governance, and instrumentation choices to ensure safe, auditable AI deployments.
Responsibilities
- Prototyping and implementing machine learning / generative AI workflows.
- Extracting, transforming, and analyzing datasets to support model training and business insights.
- Building dashboards and automation to operationalize analytics.
- Defining deployment and governance guardrails (human checkpoints, logging, audit trails).
- Working cross-functionally with product, engineering, and client teams to translate business needs into technical solutions.
- Communicating technical work clearly to both technical and non-technical stakeholders.
Basic Qualifications
- Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027, or have completed a bachelor’s degree or higher in Computer Science, Data Science, Statistics, Applied Math, Data Analytics, Management Information Systems, Economics, Finance, Business Analytics, Mathematics, Engineering, or a related field.
- Strong academic track record (minimum cumulative GPA of 3.0).
- Experience or coursework with data processing and analysis tools (e.g., SQL, Python, R, Power BI, Informatica).
- Familiarity with analytics, data visualization, or big data platforms (e.g., Tableau, Hadoop, Spark, AWS, Azure, Google Cloud).
- Must be legally authorized to work in the United States without employer sponsorship now or in the future.
- Candidates must be at least 18 years of age at time of employment.
- You must reside within a commutable distance of the assigned office and be able to commute daily if required.
- Ability to travel up to 50% on average, based on client and project needs.
Preferred Qualifications
- Cumulative GPA of 3.2 or higher.
- Internship or professional experience in analytics, data science, software engineering, or related fields.
- Hands-on experience with LLMs, vector databases, or generative AI APIs (e.g., OpenAI, Claude, Cohere).
- Familiarity with MLOps, CI/CD, model deployment strategies, and instrumentation.
- Experience with a range of tools and frameworks: SQL, Python, R, Java, TensorFlow, PyTorch, Tableau, Power BI, Hadoop, Spark, AWS, Azure, Google Cloud.
- Demonstrated initiative — campus leadership, open-source contributions, startups, or volunteer projects.
What Makes You Stand Out
- Agentic AI thinking — building systems that observe, decide, and act with appropriate guardrails.
- Data engineering fluency — designing robust, scalable pipelines and architectures.
- Entrepreneurial energy — rapid prototyping, product-minded iterations, and ownership.
- Forward-deployed mindset — comfortable collaborating in real time with client teams.
- Strong systems and critical thinking — able to reason about tradeoffs and architecture holistically.
Location & Logistics
This role is based in Glendale, CO. You must be located within a commutable distance of the assigned office and able to travel up to 50% on average for client work. This is an entry-level opportunity intended for candidates starting or building a career in data and AI engineering.
Recruiting for this role ends on 2026-11-01.
Compensation
The position description in the original posting included an estimated compensation figure. No guaranteed salary range is provided here. Compensation decisions consider experience, skills, market factors, and other business needs. If you need accommodations during the application process, please notify Careertakes.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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