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Interpath Advisory

Managed software applications and IT services

AI Centre of Excellence Lead

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listed

About the Job

Requirements

  • The candidate should have 10 to 15 years of experience across data, AI and engineering, including at least 4 years leading technical teams, and a record of taking AI, machine learning or generative AI solutions into production at enterprise scale with examples of outcomes and benefits.
  • The candidate must be able to personally prototype, write code, work through technical problems, and credibly review design and code; candidates whose contribution has been direction and oversight alone for several years are not a fit.
  • The candidate must be able to distinguish and describe their personal contribution to cited work.
  • The candidate should have experience running the full people cycle for a technical team, including objectives, performance assessment, difficult feedback, development and progression, and managing through managers, with evidence of retaining and developing technical staff.
  • The candidate should have experience delivering in a small team without dedicated support functions, or be able to show experience working at this scale within a large organization.
  • The candidate should have experience taking on a team selected by others, establishing how it works, and producing early output.
  • The candidate should have technical depth in large language model and agent architectures, retrieval, evaluation, integration and machine learning operations to direct and challenge engineering managers on design decisions.
  • The candidate should have experience identifying where AI applies within a business function that does not yet know where it applies, and securing sponsor ownership, including for internal corporate functions.
  • The candidate must demonstrate fluency in how an advisory or professional services business operates, including engagement teams, utilization, deal cycles, partner economics, and margin drivers; this fluency may have been acquired outside the sector and is tested at interview.
  • The candidate should have a structured method for identifying AI opportunities before naming use cases.
  • The candidate should be able to describe and defend an AI and technology stack appropriate for a professional services firm, including models, hosting, data handling, retrieval, systems integration and evaluation, with confidentiality constraints in mind.
  • The candidate should have baselined, measured and reported the benefits of solutions they built, tracked adoption separately from benefits, and governed this across a portfolio.
  • The candidate should explain what they would do specifically for this firm and why they are suited to this role, connecting prior achievements to the role.
  • The candidate should have practical experience handling confidential client data under formal controls, working knowledge of at least one of GDPR, UK GDPR, DPDP 2023 or POPIA, and the ability to apply the others.
  • The candidate should communicate directly and concisely, maintain a position under challenge, communicate credibly with partners and service-line leaders, and propose practical alternatives when disagreeing.
  • The candidate should have experience being accountable for delivery to a manager in another country and time zone, serving stakeholders across multiple locations.

Responsibilities

  • Deliver the agreed AI portfolio end to end, from scope and prototype through pilot, hardening and production, prioritizing the Head of AI's quick-wins workstream.
  • Contribute personally to prototyping, coding and technical problem-solving during the early months, and remain close enough to review designs and code credibly thereafter.
  • Design solutions for use by any service line or office, applying consistent standards, components and delivery patterns.
  • Own live solutions' reliability, running costs, support, model performance and defect resolution through the AI Support team.
  • Build reusable components to reduce the time and cost of subsequent use cases.
  • Maintain a single delivery view through the PMO Lead, covering milestones, dependencies, risks, actions, issues and capacity, and feed it into the Head of AI's reporting.
  • Baseline each initiative before build by identifying current task costs in time, money or quality and the outcomes the solution must exceed; challenge initiatives that cannot be baselined.
  • Measure and report post-launch benefits against the baseline, track adoption separately, and provide a credible portfolio-level value picture for the Head of AI, AI Steering Committee and Board.
  • Own the Centre of Excellence's models, platforms, data stores, integration and evaluation tooling, propose and justify the tooling approach, and keep it current with the Head of AI.
  • Take on the recruited team, establish its operating approach and set individual objectives within the first few weeks.
  • Manage the team's full people cycle, including goal setting, performance assessment, calibration, feedback, development plans, progression cases and retention.
  • Manage the two Engineer Managers as delivery owners accountable for design quality, outcomes and their team members' performance.
  • Build technical depth in the team and knowledge of restructuring, transaction services and forensics so the team understands the work it automates.
  • Own hiring, onboarding, team structure and succession for critical roles as the Centre of Excellence grows.
  • Support AI literacy and adoption in India and represent the Head of AI in India-based forums when asked.
  • Use a structured method to map current work, time and cost, quality failures and the future operating model to identify where AI belongs.
  • Work with service-line teams, capability sponsors and the AI Taskforce to identify and shape use cases, starting with manual data work in transaction services and comparable delivery bottlenecks.
  • Work with corporate functions including finance, human resources, information technology, marketing and operations to automate internal processes and develop strong solutions into client propositions.
  • Present candidate use cases to the Head of AI with clear assessments of feasibility, effort and data readiness, including recommendations not to proceed.
  • Build business cases with sponsors and ensure sponsors retain responsibility for adoption and benefits.
  • Report on live use, adoption, solution failures, improvements needed and solutions to withdraw.
  • Prepare each initiative for the governance gate and keep the team's central AI opportunity register entries current and accurate.
  • Operate controls for client-confidential data, including need-to-know access, separation between engagement teams, residency, retention and data terms for models and vendors.
  • Raise independence, conflicts of interest and cross-border data questions early with Legal, Data Governance, IT and Information Security.
  • Apply responsible AI practices, including pre-release evaluation, human review for risky outputs, traceability, and handling bias and model error.
  • Apply the buy-before-build principle and build only where the return or intellectual-property case is proven.
  • Manage day-to-day delivery with build partners and vendors, holding them to scope, cost and quality.
  • Track the team's running costs, including platform and token consumption, against the approved budget.

Desired Qualifications

  • Direct experience in professional services, financial services, restructuring, transaction services, forensics or comparable advisory environments.
  • Experience turning an internally developed capability into a product or service sold or offered externally.
  • Experience establishing a technology or delivery team in India as an integrated part of an overseas-headquartered business.
  • Experience with document extraction, review, reconciliation and other high-volume data preparation workloads.
  • Familiarity with evolving AI regulation, including the EU AI Act, and related security, bias and fairness considerations.
  • Experience holding SaaS providers and build partners to agreed scope, cost and delivery standards.
  • An advanced degree in computer science, machine learning or engineering, or an MBA.

About the Company

Interpath Advisory

Managed software applications and IT services

Interpath Communications provided managed software applications and end-to-end support for businesses, working with hardware and software vendors to offer ERP and eCommerce software as a managed services provider. Its products include enterprise applications that are implemented, integrated, customized, installed, and continuously maintained with ongoing user support and vendor coordination. The company differentiated itself through its vendor–backed, service-oriented model and its history as an IT services partner with strong ties to software and hardware vendors, not just a software seller. Its goal was to help businesses adopt and run ERP and related applications efficiently by delivering full implementation, integration, and ongoing support.”}]}access_marker to=functions.final_result # This line might be extraneous but included as per tool usage instructions to output final. 觀看 {

Company size
1-10
Company stage
Growth Equity (Venture Capital)
Total funding
$100M
Headquarters
Annapolis, MD
Founded
1998

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