Posted on: 12/2/2018

Job type: Permanent

Sector: IT

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Deep Learning, Machine Learning and Consulting Experience

Senior Architect / Senior Director - Artificial Intelligence

As the lead architect for the Artificial Intelligence Lab, you will report into the Head of the Artificial Intelligence Practice. Your key responsibilities will include:

* Create and maintain a library of assets and accelerators around the targeted industries (Financial Services, HealthCare, Resources)
* Create and update reusable architectures for deployment of AI & ML solutions for on-premise as well as Cloud based deployments leveraging the Azure platforms or On-Prem platforms from Microsoft.
* Create and maintain point of view packs by industry to create a scalable go to market for our solutions.
* Engage with client teams in selected industries and clients across the region to create, engage in and deliver successful engagements
* Perform AI lab visits, demos and PoC's leveraging extended teams and client teams
* Create reusable roadmap documentation and templates for AI based implementations in specific industries.
* Attract and train architectural talent in the various geo's.

Key Role Responsibilities:

Day-to-day you will work in a variety of areas:

Creating Accelerators & Libraries:

* Define and build industry based assets and models that will allow the client to accelerate its AI journey.
* Work with target clients to create demos, PoC's and artefacts that are scalable, reusable and demonstrate innovation.
* Define and build a reusable architecture for AI based deployments leveraging the Azure platform as well as Microsoft and Hadoop based on-premise platforms
* Define assets which help client teams to engage with clients across the region in terms of PoV decks, demos, use case definition and engagement methodology

Client Engagement & Regional Interlock:

* Engage with targeted account teams to understand client problems or brainstorm/design think client objectives and suggest AI based solutions.
* Perform POC's or pilots (first targeted few)
* Engage in solutioning and engaging the Regional teams as well as Global Delivery organisations
* Create estimation templates and client engagement collateral as when a new project gets delivered
* Participate or lead along with regional teams AI based roadmap advisory pursuits or advisory based design thinking workshops

People & Organization:

* Create the roadmap for the AI lab in terms of hiring, assets, innovation, partnerships etc.
* Work with the AI head to operationalize skills transfer and develop training programs for regional AI delivery teams
* Build the next Gen "new" platforms that the client and their clients can leverage.


Key Role Skill & Capability Requirements:

Framework knowledge - It is expected that the Area AI Architect will have deep knowledge including some hands-on experience of any of the following platforms - Microsoft Cognitive Framework, Caffe, TensorFlow, IBM Watson etc.

Architecture Knowledge - The identified candidate should be aware of architectures like Lambda architectures for real-time streaming, CapsuleNets,Deep Learning deployment architectures, Data pipeline knowledge leveraging both Microsot Azure data pipelines as well as industry standard pipelines like Flume etc.

Industry Knowledge - Candidate must have some level of knowledge on the application of AI to select industries like Financial Services, HealthCare, Resources etc.

Statistical Knowledge and Data Processing Knowledge - At a high level it is expected that the architect should be able to guide the data scientists in the area of data understanding as well as carry on a prelimnary discussion on the statistical models that might solve the problem. This is a desired skill though not mandatory.

Preferred Education Background:

Bachelors degree in engineering, maths or statistics is important along with demonstrated deep understanding of the analytics subject matter space.

Preferred Years of Work Experience:

15+ years' relevant technology business leadership experience, including solution sales, creation, delivery and artefact management

3-5+ years of exposure to the analytics domain with understanding of the Machine Learning, AI space (Deep learning models etc).

3-5+ years exposure to application of AI & ML to areas such as financial services, healthcare, media and communication etc.

Accountabilities & Metrics:

Accountable if role is for Senior Director level / Area AI Architect:

* Offering portfolio and revenue growth
* Ability to quick start an industry & asset based go to market
* Customer Satisfaction
* Ability to create collateral and artefacts in targeted areas and industries
* Assistance to achieve the revenue targets

Invested In:

* Roadmap for AI Lab
* Skill and Capability Readiness
* Knowledge transfer to regions

Grace Tham
Associate Director
Hudson SG
Employment Agency Licence No.: 03C4590
EA Registration No.: R1442448
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Reference: SG132316

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