Senior AI Engineer

Job Post Information* : Posted Date 6 months ago(9/8/2023 1:09 AM)
# of Positions
Work Location (City/State)

What You Will Do

As an AI Engineer within our Product Engineering team, you will harness your unique skills and perspectives to engage in the development of forward engineering automation and deployment of AI systems using various platform, creating pilots for clients, and contributing to our growth and innovation. In this role, you will partner with technical leaders across the organization and drive engagements with a curiosity that sparks innovations.

Your Role and Responsibilities
An AI Solution Engineer is not just a job title - it s a mindset. You will leverage different platforms to co-create AI value, focusing on technology patterns to enhance repeatability and delight clients.
We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.
Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.

Day to Day Duties:

  • Solution Design and Architecture: Collaborate with stakeholders to understand their business needs and challenges. Design and architect AI solutions leveraging foundation models and large language models, ensuring scalability, reliability, and performance. Understand various language implementation and contribute to forward engineering.
  • Technical Expertise: Demonstrate deep knowledge and expertise in foundation models and large language models, as well as related AI technologies and frameworks. Stay updated on the latest advancements and research in the field and identify opportunities to apply them to solution design. Understand the legacy languages for reverse engineering and modern languages for forward engineering automation.
  • Requirements Analysis: Work closely with stakeholders to analyze their requirements and translate them into technical specifications. Identify potential challenges, constraints, and opportunities for innovation. Provide recommendations and propose effective solutions.
  • Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with requirements and expectations.
  • Data: Finding available datasets internal and external sources that could be used for modeling, define the data validation strategy, verify the data quality and ensure the data quality with data cleaning.
  • Collaboration and Project Management: Collaborate with cross-functional teams, including software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders.
  • Solution Implementation and Deployment: Contribute to the implementation and deployment of AI solutions, working closely with development teams to ensure adherence to best practices, quality standards, and performance requirements. Provide technical guidance and support to the team during the implementation phase.
  • Solution Optimization and Performance: Continuously monitor and optimize the performance of AI solutions, including foundation models and large language models. Identify opportunities to enhance efficiency, accuracy, and speed through fine-tuning, algorithmic improvements, or infrastructure optimization.
  • Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
  • Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor junior team members.
  • Industry Trends and Innovation: Stay up-to-date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.
  • Required Technical and Professional Expertise
  • Education: Bachelors or Masters in Computer Science, Artificial Intelligence, or a related field.
  • Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Experience in reverse engineering or various legacy technologies implementation. Experience in automation of forward engineering in modern technology stack.
  • Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Proficiency in languages like Java, C#, Cobal will be an added advantage.
  • Solutioning Experience: Experience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Understanding legacy technology and do forward engineering automation with AI models.
  • Business Acumen: Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions.
  • Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
  • Growth mindset: Demonstrate a growth mindset to understand clients business processes and challenges

Skills and Experience You Will Need

  • Bachelors or Masters with 7-10 years of industry experience (4yrs of AI experience is must).
  • Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
  • Experience in reverse and/or forward engineering
  • Familiarity with Agile development methodologies
  • Commitment to continuous learning and staying updated with advancements in the field of AI.
  • Demonstrated ability to collaborate effectively within teams
  • Experience doing data preparation and engineering
  • Experience with AI and/or data governance
  • Experience with building business automation or digital solutions
  • Experience with building automation for forward engineering solutions

Who We Are

About GalaxE.Solutions

GalaxE is a professional IT services firm that specializes in platform-driven solutions and the use of automation to achieve enterprise business transformation and mission-critical change for some of the largest companies in the world. Using our proprietary solution set, GxFource®, we apply machine learning techniques and predictive analytics tools as part of a broad artificial intelligence strategy that provides effective impact and data-driven business transformation.


Since its founding, GalaxE has been dedicated to advancing the benefits of technology. As we continue that legacy and look to the future, a focus on business enablement through agile, cost-efficient, and effective integration of people, process, and technology anchors our success. We revolutionize change in the costs of doing business that transform companies and their ability to leap beyond the competition.


At GalaxE we value people and are committed to diversity and inclusion where our employees are made to feel comfortable and are encouraged to be authentic. We focus on cultivating both traditional IT and non-traditional, new collar, workers through our Outsource to America®, program.


We are always looking for passionate, entrepreneurial-minded innovators and disrupters; game-changers that take ownership of the work they produce and bring it each and every day. Working with like-minded team members you will get a chance to discover, develop, and use cutting-edge technologies to transform the way we deliver creative business solutions.


Sound like you? Join us and find out for yourself what it means for you, and your career, to be part of the GalaxE team. Let’s build something, together. #WeAreGalaxE


Equal Opportunity Employer/Veterans/Disabled


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