DA
DATAECONOMYGenAI Engineer
AI Engineer developing and deploying generative AI and LLM solutions at DATAECONOMY. Collaborating with teams to implement innovative AI technologies.
About the role
- Drive data and AI architecture solutions, frameworks, roadmaps, program optimizations and process engineering in a high-velocity culture.
- Identify system gaps, analyze competitive strategies, architecture frameworks, metrics models, and performance indicators.
- Accountable for data and AI architecture that crosses technologies, channels, lines of business, and enterprise data functions with primary focus on business outcomes vs technology design.
- Participate in strategy discussions while leading integration design and execution activities.
- Drive strategic enterprise consolidations and integration efforts.
- Lead with architecture design that fosters innovation and competitive advantage across businesses.
- Act as principal advisor to leadership in architecture matters; participate in M&A strategy discussions as well as drive AI integration design and execution activities.
- Provide technical expertise and guidance regarding the research, engineering, and integration of new architecture principles and solutions to meet our organization's business strategy.
- Provide oversight for the identification, design and implementation of engineering and automation solutions to promote results.
- Create and maintain the data and AI architecture roadmap and strategy.
- Manage and influence relationships with partners to ensure cross functional coordination and ensure a partnership focused approach is taken to align product and system releases.
Requirements
- Demonstrated experience providing customer-driven solutions, support or service.
- Demonstrated experience leading data and AI engineering practices, and LLM based multi-agent systems designs and deployments.
- Solid understanding of end to end implementation of traditional Machine Learning and Generative AI technology stacks.
- Solid understanding of responsible AI guardrails implementation such as eval framework, observability, monitoring and controls.
- Demonstrated experience communicating and influencing at all levels of the organization from technical IT staff to business executives.
- Demonstrated experience negotiating complex or contentious issues, reaching consensus, and working through people to achieve goals.
- Extensive knowledge and understanding of business strategy development, business architecture, and business models as they relate to technology strategy development.
Benefits
- Comprehensive medical, dental, vision and wellbeing benefits
- Competitive 401(k) contribution
- Pension plan
- Annual incentive
- 9 paid holidays
- Paid time off program (23 days accrued annually for full-time employees)
- Student loan repayment program
- Paid-family leave
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