Vacancy expired!
and those authorized to work in the U.S. can be considered as W2 candidates. Lead Principle AI Engineer Location: Irving, TX (onsite once campus will reopen )Duration: 1 year and (R2H)
Principle AI Engineer designs and develops scalable solutions using AI Tools and machine learning models. Performs research and testing to develop machine learning algorithms and predictive models. Being a Principle AI Engineer utilizes big data computation and storage tolls to create prototypes and datasets. Conducts model training and evaluation. Additionally, Lead AI Engineer integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Requires a master's degree in computer science, mathematics, engineering, or equivalent. The AI Engineer works autonomously. Goals are generally communicated in "solution" or project goal terms. Will provide leadership for the team through knowledge in the area of specialization. Works on advanced, complex, technical projects or business issues requiring state of the art technical or industry knowledge. Requires 10+ years or related experience.The principle AI Engineer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business and strategy. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.Responsibilities:•Accountable for defining AI strategy for AI team in alignment with Client Technology. As such, collaborate to help create reliable, scalable, and high-performance services and architectures. Through these efforts, develop cohesive interpersonal working relationships with all peers and team members. "It's all about team work."•Utilize comprehensive knowledge of multiple technological disciplines to achieve objectives by providing leadership and guidance to the teams responsible for architecting, implementing and performing continuous improvement to products.•Work style is very independent, requiring little or no guidance by senior architects. Decisions will make a significant, measurable impact on the business goals for different lines of business. During team discussions you will play a significant role with PMTs, TPMs and SDEs to determine potential technological designs and approaches.•Assist in the planning and managing of assignments generally involving large budgets, cross functional and / or multiple projects simultaneously. This includes effectively understanding and Analyzing both technical and business risks and impact.•Be part of the design review board that will focus on the design process, search for generic patterns, and, at the same time, share best practices across the organization. As such, you will identify and define necessary system enhancements to introduce and let dev teams deploy new products and process enhancements.•Have a wider understanding of the technical strategy for a particular architecture, platform or solution. Help gain consensus across all of our teams as a leader. You interact with external vendors and look for innovative solutions in the market. Participate in lesson learned sessions and ensure that the outcomes flow back into the software processes. This is one area that can drive incremental improvement.•Contribute to brown bags, external publications, user-group leadership, speaking opportunities at industry conferences while raising Client GCT profile and more in the industry,•In addition to a comprehensive understanding of the business domain, the systems, and the products in your space, you will have a strong knowledge of emerging technologies and best practices. Help to drive cross-team solutions, anticipating and addressing problems ahead of the needs of the scrum teams. Regularly meet with SDE IIIs and IIs to ensure your engineering and operational excellence focuses are addressing the key tactical and strategic issues.•Understand the business impact of your systems and show good judgment when making technical trade-offs between your team's short-term technology or operational needs and long-term business needs. Be a key influencer in team strategy. Drive mindful discussions with customers and peers. Bring perspective and provide context for current technology choices and guide future technology choices. Understand that not all problems are new (or require new software). Make appropriate architectural trade-offs (e.g., coarse or fine grained service separation?)•Code submissions and approach to work are exemplary - your solutions are inventive, secure, easily maintainable, appropriately scalable, and extensible. You write software that is easy for others to contribute to.•Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm''s reputation and safeguarding Client , its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Qualifications:•10+ years of relevant experience in an Enterprise Architecture role with AI subject matter expertise in one or more areas•Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Client internal and external cloud platforms (AWS, PCF, Akamai), and internet and mobile frameworks (Angular, JFP, and iOS and Android native).•Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn•Effective client architecture leader working with internal stakeholders and supported by external vendors to enable the best solution: secure, performant and scalable.Education:Bachelor's/University degree, Master's degree preferredVacancy expired!