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Senior Engineering Manager
Come join Intuit’s DevX team as Manager-2 focused on building the next generation
AppIntelligence platform. AI Native experiences are a critical part of Intuit’s strategy to be
an AI driven expert platform. This fabric that powers both development environments to
app runtime at Intuit is the backbone that enables our product teams to ship remarkable
AI powered products. The cutting-edge large scale platform will offer experiences that
enable App creators to build and publish new apps with next-gen AI capabilities. On the
technology stack, the leader will be overseeing platform development that spans the
latest in information representation, Knowledge Graphs, Applied AI and rethinking how
they could be seamlessly blended with state of the art contextual data from varied
sources. If you are passionate about data-driven experiences and building the next
generation of products this job is for you! Discover what it’s like to be part of a fast-paced
team dealing with challenging engineering problems where self-motivated engineers can
do the best work of their life.
Responsibilities
Leading software development by gathering functional / non-functional
requirements, driving technical decisions, teaming and capacity planning.
Lead design, product development of Knowledge platforms and Applied AI to
modern development experiences and AI Native UX.
Manage a team of ICs with focus on individual project priorities, deadlines and
deliverables
Result oriented mindset with an affinity to produce high quality platforms
Define, implement, and automate the continuous deployment of highly available,
production workloads with zero downtime, along with operational metrics for
monitoring
Acting as the technical subject matter expert: Mentoring highly talented engineers
while demonstrating technical expertise and drive solutions for challenging
problems
Experience with Agile Development, SCRUM, or Extreme Programming
methodologies
Engage with the open-source community, collaborate with third-party partners
and contributors●
Evangelize the product through blogs, social media, demos and presentations at
conferences, and meet-ups
Qualifications
BS/MS in Computer Science or equivalent work experience
12+ years of experience with at least 3+ years working as manager leading
applied AI / ML products and experiences.
Experience building large, high traffic platforms in at least three of Python, LLMs,
RAG, Knowledge Graphs etc
Hands on expertise in data modeling & preprocessing, including data cleaning
like tokenization, stemming, lemmatization, etc. and organization using tools
like Vector Stores, Semantic Clustering Techniques, Graph DBs etc
Seasoned in Python, Pandas, NumPy and deep learning frameworks like
TensorFlow, PyTorch, etc
A solid grasp of AI concepts like supervised and unsupervised learning, CNNs,
RNNs, Model evaluation frameworks, encoders, decoders, positional encodings
and feed-forward networks.
Knowledge of generative AI with Transformer models e.g. GPT-4 and Diffusion
models e.g. Stable Diffusion
Familiarity with cloud AI platforms like AWS, Azure, GCP especially in
deploying and managing AI releases
Problem-Solving and Critical Thinking: The ability to analyze problems, identify
root causes, and devise effective solutions as a fundamental to AI engineering
Passionate about data-driven decision making, as well as automating anything and
everything
Excellent communication skills: Demonstrated ability to explain complex technical
issues to both technical and non-technical audienceDriven, motivated team player
with a “Get the Stuff Done” mentality!
Working proficiency and communication skills in verbal and written English
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: