Seeking motivated individual with a demonstrated aptitude for technology, willingness and ability to learn new tools and leadership abilities to help grow the Gen AI practice.
Preference will be given to candidates with solid expertise in areas below:
- Deep understanding of effective use of MS Copilot across various MS applications to maximize productivity and promote adoption across the business will be a plus.
- Strong knowledge of data modeling, visualization techniques, tools, and statistical analysis.
- Experience with large language Models (LLM), natural language processing (NLP) and computer vision will be a plus.
- Certification in Microsoft Azure, Office 365, or related technologies.
- Ability to think creatively, understand business requirements, and translate them into technical requirements and solutions.
- Experience working across different business groups and stakeholders, showing strong communications skills and business acumen.
JOB DESCRIPTION
Lead Gen AI Technologist
Salary Grade: G05
Minimum Midpoint Maximum
$90,316 - $121,926 - $153,536
The following statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
This position is covered by NERC CIP cyber security standards. Prior to being hired, the candidate must successfully pass a Personnel Risk Assessment, which includes identity verification and a criminal background check. Prior to being granted unescorted access to cyber secure areas, the candidate must attend cyber security training.
SUMMARY:
This position will coordinate the setup and growth of the Generative AI practice within the Company, working across business areas and technical groups to understand needs, identify opportunities for the application of AI technologies and translate AI insights into actionable strategies to increase business return on investments.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Research AI technology and collaborate with cross-functional teams to understand business needs and identify areas where AI application can stimulate business growth, help the business on defining and analyzing the business cases, and coordinate with vendors and internal teams to implement identified solutions.
Develop, implement, and optimize Generative AI models and algorithms to solve simple and complex business problems, including Data acquisition and preparation, model performance evaluation and optimization, results presentation, monitoring, documenting and maintenance of models.
Provide technical support and guidance to team members on AI-related projects, creating a development framework and standards that will keep evolving with the technology. Work with architecture, security, applications and other technical agents to evaluate new AI tools to adopt into the work environment.
Collaborate with cross-functional teams to integrate AI solutions within the Microsoft suite, including Azure, Power BI, and Office 365, and eventually other suites of products in the measure that vendors will make AI plug-ins available for other applications used by the business.
Prepare monthly reports of progress that will be presented to leadership group to establish evolution of the company AI practice, accomplishments for the different initiatives, challenges and next steps. As the liaison between technical teams and business stakeholders, the AI Business Analyst must be able to effectively communicate insights and recommendations in a clear and concise manner. Individual may be requested to interact with the AI governance committees.
Ensure data security and compliance with industry standards and regulations.
Stay up-to-date on the latest AI emergences relevant to the business domain
Conduct research and development processes for AI strategies.
COMPETENCIES:
Knowledge of data modeling, visualization techniques and tools and statistical analysis.
Ability to effectively communicate insights and recommendations in a clear and concise manner, across different audiences
QUALIFICATIONS
MINIMUM EDUCATION AND/OR EXPERIENCE:
Bachelor's degree in an information technology related field with solid background in Data Sciences /Data Analytics, with 3 to 5 years of experience. Skills in programming languages like Python, R, SQL or Java.
Experience with large language Models (LLM), natural language processing (NLP) and computer vision will be a plus.
CERTIFICATES, LICENSES, REGISTRATIONS:
Certification in Microsoft Azure, Office 365 or related technologies.
ANALYSIS AND PROBLEM-SOLVING ABILITY:
Strong analytical, strategic planning, and problem-solving skills. Ability to define problems, collect data, establish facts, and draw valid conclusions.
Ability to analyze large datasets to identify patterns, trends, and insights that inform model development.
Proficiency in designing and implementing algorithms that can generate new data or content based on existing datasets. Experience in assessing the performance of generative models using metrics such as accuracy, precision, and recall.
DECISION MAKING:
Self-motivated; able to work independently to complete tasks and respond to department requests and to collaborate with others to utilize their resources and knowledge to identify high quality solutions
Understands and utilizes decision theory to create strategic and tactical support documents for stakeholders.
Demonstrates solid judgment when analyzing problems and makes difficult choices under uncertain conditions in dynamic environments with many variables.
Makes decisions related to standards and guidelines for AI development to be followed
SCOPE AND IMPACT:
Accountable for recommendations and activities that have a high potential for making a significant financial impact on the company's business process and risk profile. Budgetary decisions will be coordinated with senior management, seeks to create greater business efficiencies which have financial impact against operations and maintenance budgets.
Research and plan training AI related training paths for business partners and technical team members.
TXNM Energy, Inc.
Albuquerque
New Mexico United States
www.txnmenergy.com
